This pre-conference symposium presented by MEMS & Sensors Industry Group (MSIG) will provide an overview of the MEMS and sensors industry including a highlight of current trends, opportunities and challenges to maximizing value. Topics will cover the hardware to generate the data but also delve deeper into the world of sensor algorithms, machine learning and data analytics, which are hot areas today to provide rich end to end solutions.
According to a research conducted by Yole Développement, the worldwide MEMS market in 2014 was more than US$11 billion, growing to reach $20 billion by 2020 with 30 billion shipped units. MEMS and sensors are already ubiquitous. Companies in the MEMS and sensors supply chain are plentiful, competitive, and innovative. As threats of commoditization, consolidation and competition increase, the impetus to gain as much value from MEMS and sensors is increasing.
Companies are positioning themselves as both hardware and software providers, selling chips along with the algorithms and sensor fusion to enable system integration, maximize value, and remain competitive. Some are calling it a “new virtuous cycle” wherein companies are using less silicon and more brain. Sensor companies are looking for opportunities to exploit the data analytics of sensor data and participate in that revenue potential as well as utilizing sensor fusion to reduce power consumption requirements and maximize performance. Understanding how to create and capture the value in the MEMS and sensors ecosystem is becoming increasingly important.
How do companies innovate to make integration easier and create higher revenues? What verticals provide the biggest opportunity for growth? What challenges to value exist across the markets? Which companies are blazing the trail for innovation and revenue generation and how are they doing it? How can traditional semiconductor companies also participate in this explosive growth of MEMS & Sensors, particularly in the Internet of Things? What is unique to the MEMS and sensors ecosystem? Come to the MSIG pre-conference symposium to learn how to increase collaboration, innovation, investment and understanding of MEMS and sensors’ diverse value-add.
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This Pre-Conference Symposium is organized and moderated by MEMS & Sensors Industry Group.
Sensors are among the mostly frequently cited additions to connectivity in the Internet of Things (IoT) and certainly are one of the key enablers for wearable products of all sorts. However, wirelessly connected sensors pose a major problem when considering batteries as the sole source of power - battery life. Converting the available energy from a variety of sources to electricity, or energy harvesting, provides an alternative to frequently changing batteries in wireless sensing applications. Popular techniques to harvest energy for sensing applications include photovoltaic, thermoelectric, piezoelectric, electrodynamic and even wind. While energy harvesting is not a solution for every wireless sensing node, it is being successfully applied in industrial, consumer and other applications. In some instances, it is being used in conjunction with advanced battery technologies including thin-film batteries. In all cases, efficient power management is essential. As in most system problems, there are technical and cost constraints.
Presenters in this session will provide an in-depth analysis of the challenges and solutions of using energy harvesting techniques of varying types for powering sensors in wireless and other ultralow power applications. In addition to exploring the energy harvesting technologies as well as other power sources, other system aspects will be addressed including high efficiency, low-power microcontrollers, wireless connectivity, and direct current (DC) power management. By explaining the design-in requirements for existing energy harvesting products in real-world applications, attendees will have new tools to consider in the design of their next-generation sensor systems for the IoT, wearables or any application that requires low power.
Session attendees will leave with an improved understanding of:
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Mark Weiser wrote in 1991 "The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it."
Other tech leaders have echoed similar words talking of how the next wave of technology will leverage a complex ecosystem of seamlessly invisible sensors that will provide information to enhance our lifestyle. So 25 years later, what is this IoT lifestyle? How do smart homes, smart cars, smart offices provide this high-level intelligence that will enable the IoT lifestyle that was imagined by so many futurists.
Attendees takeaways will include:
If you’re designing systems, components, software, or any other facet of the Industrial Internet of Things (aka Industry 4.0), you know that failure is not an option. Even the slightest downtime could result in millions of dollars in unrecoupable losses, or worse yet, loss of life. At the same time, the “net” that your factory, hospital, or other industrial system MUST be rock-solid secure. In this session, we’ll look at the different facets of designing an Industrial platform, including the hardware, software, and everything in the middle, from pre-scope through to implementation, as well as networking/network security and reliability.
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The value proposition of the Industrial IoT is to maximize operational efficiency, minimize costs, and yield insights that can revolutionize manufacturing and organizational processes through the integration of automation technology and business intelligence systems. However, the investment of time, dollars and resources associated with such frameworks is not trivial. Identifying, planning and implementing an IIoT project takes a commitment by stakeholders at all levels and different functions.
In this IIoT University keynote, Maciej Kranz, Vice President of the Strategic Innovation at Cisco, and author of the New York Times Bestseller, “Building the Internet of Things,” will shed new light on best practices to start and scale your IoT journey. Drawing on two decades as an IoT pioneer, he will also provide practical guidelines required for any successful IIoT transformation, as well as “four quick paths” to quick ROI. From IT and OT technology integration and culture change to industrial case studies and ecosystem partners, the speaker will cover all the IIoT implementation bases, including the growing value of Fog Computing at the edge of operations. Consider this your blueprint for building a connected, digital factory.
Despite the newfound desire to add connectivity to devices ranging from automation controllers to light bulbs, industrial system designers are still governed by the laws of reliability and power consumption. Certainly, the benefits of Industrial Internet of Things (IIoT) architectures can only be realized if the systems that comprise them function as intended, requiring that any networking solution they use to provide ample security without doesn’t break the bank in terms of processor and memory resources. Here, standards are the most surefire way to get to market on time, within budget, and ensure long lifecycle deployments. However, most networking technologies migrating from the enterprise and consumer sectors fail to meet the performance and reliability requirements of IIoT systems.
Deployed for over a decade in the smart lighting and utility industries, the zigbee mesh networking protocol has enabled low latency, low data rate connectivity for small-, medium-, and large-scale networks, often in the context of ultra-low-power or energy harvesting devices. Now with added security tools and features, the zigbee alliance plans to expand on its footprint of hundreds of millions of installed devices through technologies tailored for the IIoT. Tobin Richardson, President and CEO of the zigbee alliance, explains.
For many Industrial Internet of Things applications, cellular has become the default wireless connection to remotely monitor sensor data, especially in locations that have not been economically feasible in the past. It is therefore critical that sensor OEMs and solution providers know and understand the LTE technology roadmaps: this includes when older 2G technology will go offline and what LTE technology is on the horizon. This discussion will give an overview of the LTE roadmap, a description of new technologies, and how they specifically address application challenges in the industrial sensor markets.
To build an industrial sensor-to-cloud proof of concept (PoC) that integrates your technology, you need to understand what components, protocols, interfaces, and security considerations are needed. Whether you supply precision sensors and actuators, or software analytics in cloud platforms, you will need some combination of hardware and software elements to build a real-world PoC. The challenge is in connecting the OT domain with IT/enterprise to represent relevant data that is usable for your business case. Many current gateways are focused only on IT data models or hardware that is tailored to enterprise systems, but do not consider low-level embedded systems with their memory constraints and latency requirements. This talk will focus on considerations to help kick-start your sensor-to-cloud concept by leveraging embedded technologies that simplify development and bridge the OT and IT enterprise.
For 802.15.4 and other low-power wireless communications infrastructures, 6LoWPAN offers the security and interoperability of IPv6 all the way to the edge node. Ed will discuss the benefits and tradeoffs involved in using 6LoWPAN and will outline the relative strengths (and weaknesses) of this protocol compared to other options. Ed will discuss the use cases and best practices for 6LoWPAN that have been developed during recent projects at SDS.
While data is the coin of our age, the vast majority of Industrial Internet of Things (IIoT) devices are governed by cost and power-consumption envelopes that disqualify most traditional networking technologies. Particularly in remote deployment scenarios consisting of sensor-based industrial “things” powered by batteries, cellular connectivity, for instance, carries too much overhead from both the business and design perspectives. This is especially true when considering that the data transmitted by such devices often doesn’t require the quality of service (QoS) inherent in modern communications networks; best-effort delivery and extremely low data rates typically suffice.
The LoRaWAN standard, a low-power, wide area network (LPWAN) protocol, provides a wide-area alternative to the complexity and overhead of current network implementations through sub-GHz, bi-directional communications that increase overall network capacity and exponentially reduce costs. As an open standard, the LoRaWAN protocol integrates security, supports geo-location services, and maintains simplicity–more than enough to get millions of sensor systems plugged into the IIoT value chain. Learn more from Vivek Mohan of Semtech and the LoRa Alliance in this Industrial IoT networking session.
With billions of nodes and many terabytes of data, the Industrial Internet of Things (IIoT) holds much promise for helping us to work smarter and more efficiently. Unfortunately, all those nodes and data are potential security risks that can potentially bring much of the network down and wreak havoc. In the IIoT, we need to consider security as part of design and implementation. In this fast-paced overview class, we will take a look at where the major security issues exist in hardware, data, and network design and some of the ways we can minimize those risks.
The world is connected by networks, and those networks are critical to the operation of a broad range of devices and services in the industrial Internet. Preserving the integrity and security of equipment such as routers, switches, and firewalls used to create the network infrastructure is essential to network reliability, as well as maintaining integrity and privacy of the many kinds of data that transit networks. As increasingly sophisticated attacks are launched on network equipment, strong protection mechanisms for network equipment, both on the device and service level, is required.
This talk will look at how widely vetted trust concepts wil
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The availability of sensors that can take the shape of their imposed working environment has existed for quite some time with the earliest being for aerospace applications. Most recently, there has been an exponential growth in the field of flexible, printed and organic large-area electronics and sensors driven by applications including wearables, e-Health and the Internet of Things (IoT). These new electronics and sensors are fabricated on flexible plastic substrates or are printed/woven into fabrics, which offer advantages such as mechanical flexibility, shape conformity, light weight and low profile. The creation of these “non-classical” platforms is enabled by low cost high-speed manufacturing of devices over large areas using various technologies including Roll-to-Roll production.
The extensive list of 12 speakers, who represent the international “who’s who” in this topical area, will present several of the more interesting printed/flexible/stretchable and functional fabric sensor technologies and their applications currently under development and in production in the commercial sector as well those under development in the leading research universities and research labs around the world. In addition to these sensors, we will address the challenges of their integration with other functional element of basic Internet of Things (IoT) and wearable applications. We will also address the manufacturing issues to create these heterogeneous and hybrid solutions from both a batch mode and continuous process. Finally, barriers to the successful commercialization of these sensors and recommended strategies for market success will be presented.
In recent years, there has been an exponential growth in the field of flexible, printed and organic large-area electronics and sensors. These new printed electronics and sensors are fabricated on flexible plastic substrates as well as on/in fabrics, which offer advantages such as mechanical flexibility, shape conformity, light weight and low profile. The judicious use of these substrates/carrier platforms enables low-cost and high-speed manufacturing of devices over large areas using printing technologies in a Roll-to-Roll production line. Targeted applications include wearables, environmental monitoring and eHealth.
Recently, the U.S. Department of Defense (DoD) awarded $75M to FlexTech Alliance to establish and manage a San Jose-based facility to create a Manufacturing Innovation Institute for Flexible Hybrid Electronics (FHE MII). Additionally, the recent award of $75M, also by the US DoD, with $250M in matching grants from regional governments, industry and academia for the creation of a research and development consortia, Advanced Functional Fabrics of America (AFFOA), headed by MIT for the development of sensors and other electronic functions has validated the potential of this technology to create “smart fabrics” for consumer and military wearable applications.
We are surrounded with applications requiring the detection of local magnetic fields using ultrasmall, flexible and highly sensitive sensors. These can be artificial skin for robotics, NDT inspection, data storage or neuronal activity monitoring, just to mention a few. Several mature technologies exist for field detection, but not all could match all the performance requirements as thin film magnetoresistive (MR) sensors. Highly advantageous are the field detectivity (down to 400 pTesla at 1 Hz), room temperature operation, monolithic integration with CMOS electronics, thermal stability (250ºC), small size (from ~100 µm to ~100 nm) and (most important here) readily scalable through top-down nanofabrication techniques providing a relatively low cost and ease of implementation with multi-wafer projects.
In this presentation we will explore the integration challenges of MR materials in flexible electronics, for fabrication approaches based on a) direct film growth on flexible substrates, b) top-down processing with flexible interlayers for final device detach, and c) hybrid integration of silicon rigid elements with flexible interconnections.
We will assess the microfabrication scalability and production costs, targeting at applications with challenging specifications where flexible MR sensors offer advantages over other technologies.
The presentation provides an overview on the potential of high-volume printing technologies for sensors in Healthcare and Wearable Technology applications based on examples of current R&D work in Printed and Hybrid Electronics at VTT. The use of expert knowledge in paper technology, printed electronics, hybrid integration, wireless communication and data analytics aims at creating low-cost, printed solutions as an alternative to expensive conventional sensor networks. With the growing demand for rapid and reliable disease testing and continuous vital parameter monitoring, roll-to-roll printing methods have the best potential to prove upscalability of diagnostic tests and wearable device technology for the mass market. VTT’s roll-to-roll pilot printing and hybrid integration facilities provide upscaling infrastructure for printed and hybrid devices at all product stages: from prototype to mass product.
Strideway is a modular, gait analysis platform featuring pressure sensitive tiles that can be field configured in lengths ranging from approximately 2 feet to over 16 feet in le
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In this keynote, Ori Inbar reviews the impact AR technologies will have on the way we live, work, shop, learn and play. He will explore how AR is poised to enable Engineers designing with Sensors to advance human-centric applications going forward and will provide ample examples.
1) Democratizing Knowledge: Thanks to ubiquitous sensors and AR visualization, anyone, especially engineers, will have access to the world’s best information resources and experts - all within their field of view - to improve any task they perform in their life and work.
2) Economic growth: AR will drive economic growth by improving productivity and efficiency, as well as helping upskill workers and engineers who's jobs have been commoditized by automation.
3) Healthcare to everyone: Expert healthcare providers combined with advanced Intelligent Computer Vision systems will treat patients in underserved areas, and lift health levels across the world.
4) Empathy and Collaboration: Based on emotion sensors and communication technologies - engineers will reach a new level of collaboration and empathy to achieve better outcomes. Like minded folks around the world will be able to collaborate and solve issues as if they are in the same room.
5) Sustainability to the people: Thanks to AR’s ability to simulate things that aren’t apparent in reality, the spread of sensors and AR technologies will reduce the need to manufacture hardware, reducing energy consumption and promoting sustainability
Autonomous Vehicle movement has been steadily gaining market momentum. Sense technologies are playing an integral role enabling Advanced Driver Assistance System (ADAS) features which are becoming the building blocks to Autonomous diving capabilities. As sensors like Lidar, Radar, and Cameras become more cost effective, vehicle OEMS are offering more (ADAS) features to the market. Driver assistance features is just the beginning, Vehicle OEMs have pledge huge investments and triggered M&A activities centered around autonomous vehicle movement. Clearly automotive electronics has shifted from the traditional real-time command and control functions that utilize an array of low cost resource limited Microcontrollers. Now it is all about high-performance compute platforms that use heterogenous compute CPUs, GPUs, DSPs and ISPs to help fuse data from an array of sense elements such as radars, lidars, ultrasonics, and cameras. External sources vehicle to vehicle and vehicle to infrastructure even satellites.
The automotive workshop will explore this Autonomous Vehicles from different angles through a series of panel discussions:
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Smart connected products will redefine entire markets and the very nature of competition over the coming decade. Organizations attempting to build smart connected products across divisions, product portfolios, and markets are being faced with a stark reality: creating IoT projects are hard and building a long-term organizational competency around doing IoT projects with excellence is even harder. Based on real-world experience, this presentation covers five key behaviors that successful organizations exhibit along their digital transformation journey as they employ IoT technology solutions to drive behavioral change.
While most IoT attention is focused on high-volume markets served by standards-based solutions, many large market niches exist for where it is crucial to support wireless sensor units which have batteries that are difficult to replace based on how the product is used or physically located e.g., units that are underground or hard-to-reach atop utility poles or buildings. These sensors must operate over extended periods without battery replacement. This session will examine the special needs of wireless applications using coin cell and energy harvesting powered devices.
To develop and deploy wireless embedded devices usually requires outside developers for hardware, code development, and a cloud development and implementation. This session describes a new generation of integrated development suites that make it possible.
Alexis Macklin will discuss different devices as well as different Human-machine interaction (HMI) sensor technologies, including touch sensor, voice command, gesture control, eye-tracking, motion sensor, short range wireless and other sensors. She will also share a projection of the market forecast until 2021.
With the legacy MEMS (accelerometers, gyrometers, pressure sensors) being commoditized, all eyes are looking for new sensors capable of restoring margins and allowing the industry to keep growing. This presentation will review current trends in MEMS sensors and will provide a glimpse at ongoing developments at CEA Leti, one of the biggest R&D centers worldwide in this domain.
One of the challenges of the sensors industry for agriculture and food applications is its fragmentation. We are witnessing a proliferation of environmental, optical, inertial, or gas sensors enabled by new technology developments and increased availability of AgTech and FoodTech funding. There is now a sensor for everything! It is easy to become lost in this ocean of sensor experiments, but this session has the answers to what’s missing in the “operating system” of how those sensors will collectively transform the ag-food chain from seed to mouth.
Presenter: STMicroelectronics team
This hands-on workshop will show you how to simplify the integration of sensors, low energy Bluetooth®-smart connectivity, a low-power microcontroller and sensor fusion libraries into your next IoT design using the SensorTile development kit.
[Note: included in VIP, Gold, and Main Conference Passes only.]
The release of the new 3GPP standards for LTE-M/Cat-M1 and NB-IoT, are already having a transformative effect on market applications for embedded sensors that will make getting to market easier, more reliable, secure, and cost effective than ever before; changing the game for the way we will interact with devices. This discussion will help developers understand the new tools and capabilities with this uniquely enabling technology that is helping OEMs unleash innovation.
The session will explain RFID battery-free RFID sensing and related technologies such as long-life battery assisted RFID sensing and RFID battery assisted data logging sensing. Discover the recent technology advancements that allow for very small strain signals to be read by a small battery-free sensor. Attendees will explore technology strengths and weaknesses relative to different "breakthrough." Real-life examples of battery-free wireless sensor applications will be described.
This session will reveal a novel use of Convolutional Neural Networks (CNNs) as a Deep Learning architecture towards the creation of a facial expression recognition vocabulary. Understand how this new approach allows the vision AI algorithm to accurately read micro-expressions in real-time, and generate a wealth of invaluable behavioral data that is easy to digest and parse into other processes or applications. Discover a number of current industry verticals that are benefiting today from integrating emotion recognition technology into their commercial applications to amplify context awareness; and subsequently, enhance users experiences through a better Ambient Intelligence.
Forward-thinking leaders of cities all over the world, big and small, are considering the potential of Internet of Things and Big Data technologies to fundamentally transform the services provided by cities. They're plotting a shift from after-the-fact problem management to proactive sense and respond. Deploying city-wide sensor networks, however, presents some difficult practical challenges of Integration, Maintenance, Scalability, Reliability, Security, Privacy and more. Uncover real-world stories, challenges and lessons from deploying thousands of wireless sensors across San Francisco, Montreal, Washington DC and other North American cities.
Smart buildings and mobile health are, at first sight, two different trends within IoT. However, at sensor level they converge into a stringent need for disruptive technology. Accurate body temperature measurement, for example, is harsh - thermal conditions are out of reach for state-of-the-art sensors. Emerging smart building applications will require accurate and stable thermal arrays with sufficient resolution (e.g. 30x30 pixels) at an affordable price point. People detection, counting, localization and thermal signature of the environment are crucial as input for smart lighting, HVAC and fire detection purposes. Melexis will highlight in this session its disruptive MEMS thermopile technologies with huge consequences for aforementioned markets. The session includes a demo of world's first mobile medical temperature sensor and thermal array for IoTs as described above.
Based on Argonne's Waggle embedded sensing and computing platform, Array of Things is in the process of installing a 500-node sensor and deep-learning platform with the City of Chicago, with plans to expand to at least 20 more cities in 2017. The platform is unique in providing not only sensor data collection but deep learning for in-situ analysis of camera, microphone, and sensor data in real time.
A self-powered system affords the user tremendous freedom when commissioning a new wireless sensor network. Without the concern for periodic maintenance, sensors can be placed in areas which are impractical or unaffordable to access, opening the door to a new world of sensor system development. Maintenance costs can also be virtually eliminated with extended lifetime sensors. In body worn applications, self-powered sensors eliminate the need for battery maintenance thus increasing the user satisfaction with the product. Attendees will review methods to significantly reduce the power consumption of a wireless sensor node, in some cases by an order of magnitude or more.
Embedded Systems are becoming more complex and requiring more advanced design techniques in order to maintain the systems real-time performance. Employing an RTOS is a good step towards managing real-time complexity but there are many pitfalls that developers can encounter such as priority inversions and deadline. In this session, attendees will learn not only about RTOS fundamentals but how to avoid common pitfalls using RTOS synchronization tools, how to debug an RTOS based system and how to properly manage memory.
We are living in an area with an ever growing number of sensors, where streaming analytics and machine learning are critical. But what does it take to automate stream processing? How do we create machine learning models that can keep up with exploding numbers of data streams? This talk covers how to leverage HTM (Hierarchical Temporal Memory) - a new type of neural network - to create applications that learn in real time, automatically and without the need for data labeling.
Just as you are embracing the benefits of IoT Cloud computing, now solutions are transitioning to the Fog. Should you? This session will provide key trade-offs between various cloud and fog technologies. Understand development guidelines to differentiate between cloud and fog solutions and how to transition from a cloud solution to a fog solution. Development effort and strengths and weaknesses will be presented.
Attendees will explore how intelligent IoT asset health monitoring solutions involving ultra-low power MEMS sensors, placed on a variety of transportation methods, can provide real time insight into the condition of a shipment in order to mitigate revenue loss.
Solid State LiDAR is a critical sensor for use in ADAS and autonomous driving. Understanding how the technology works and the critical components are critical to hit the performance and cost requirements demanded by Tier 1’s and automotive OEMs. Sensor technologies, such as silicon photomultipliers (SiPM’s), are a major part of this application and designing the system properly will yield the best performance. This session will explore the trends in LiDAR and provide key design recommendations for building a LiDAR using the latest in SiPM technology.
Get inspired by female engineers involved in sensors and raise awareness of the contributions they make to the sensors community! This year's Program will feature an informative Keynote Presentation, Panel Discussion, Coaching & Mentoring Roundtables, and a Cocktail Reception!
SCHEDULE:
2:00 PM – 2:30 PM | Introduction & Keynote
2:30 PM – 3:30 PM | WISE Panel Discussion
3:30 PM – 4:00 PM | Coaching & Mentoring Roundtables
4:00 PM – 5:00 PM | Cocktail Reception
5:00 PM – 6:00 PM | Attendees are welcome and encouraged to attend the SensorsFiesta Reception on the Show Floor for additional networking opportunities!
Presenter: STMicroelectronics team
The workshop will use an STM32L4 IoT Discovery Kit to demonstrate how simple it is to connect to AWS Cloud Services and enable you to start exploring your own innovative IoT ideas! The board features wireless connectivity and an array of sensors showcasing our cloud connectivity features.
[Note: included in VIP, Gold, and Main Conference Passes only.]
Among the most pressing challenges toward realizing the full potential of the global IoT is the question of power for the billions of battery-operated sensors that will make up these new connected environments. Inherent constraints in current power-supplying technologies raise concerns not only for battery cost and performance life, but also for the unavoidable invasions of physical infrastructure that are typically required to maintain battery-powered sensors in residential and M2M applications. Low-power capability may be the biggest barrier to the full instrumentation of the physical world, but new techniques for power generation and management are evolving, as are energy harvesting technologies, which may offer the most promising solution to the IoT power conundrum. Sensors that can intelligently store energy, regenerate themselves after dissipation, and expend only the minimum power required per operating instance, represent the vanguard of next-generation sensor designs.
This session will focus on core network infrastructure issues related to securely transporting data from millions of Industrial sensors in a slew of verticals to applications residing in public/private/Hybrid clouds. Understand the various security issues from protecting the Industrial asset to securing the data transport to isolation of sensor sub-system to minimize hack proliferation. Explore the provisioning and management issues as scale, OoS/WAN optimization, and edge analytics.
AI has been changing the digital landscape for several years now, but new companies are focused on pushing these developments into the physical world. The new volume of industrial IoT sensors and communications has enabled orders of magnitude more data to be collected -- all with the goal of building intelligence into systems that can predict anomalies, identify issues, and increase efficiency. In this talk, Andrew Scheuermann, Prateek Joshi and Adam Kell will discuss which technologies are making this transition possible.
For some applications, the most effective way to implement IoT is to rely on direct dialogues between the sensors and actuators within an IoT deployment with the cloud playing a more passive role, as illustrated in autonomous vehicles and smart HVAC. Explore an alternative way of deploying an IoT based on sensor-actuator, sensor-sensor, and/or actuator-actuator dialogues.
This session will focus on the tradeoff between performance and low power consumption in embedded IoT platforms used for always on microphone acquisition. It will show different system architectures based on Cortex-M microcontrollers, with one or more microphones acquisition and processing depending on the power budget and overall system performance, targeting always on microphone acquisition as input for automatic speech recognition algorithms.
Ilika has applied its heritage of patented materials discovery with leading OEMs, to develop solid state batteries which enable the powering of autonomous IoT sensors for Industry 4.0 and Smart Vehicles. StereaxTM solid state batteries have small size (~cm2) but long life (>10 years) and, when combined with energy harvesters, provide perpetual energy to small sensing devices in difficult-to-reach, hostile and high temperature environment (operating in Extended temperature range -40 to +150°C) without the need for cabling the device or changing batteries regularly.
Devices can be utilized in areas that previously could not accept sensors due to wired connections or loss of power. Join in discussing the advancements in wireless power energy harvesting, Lifetime Battery Solutions and power management solutions as it relates to sensors and devices.
With the proliferation of sensing and networking technologies, adding measurements to systems has never been easier and more cost-effective. This opportunity to uncover new insights comes at the risk of spending more time searching for and analyzing multiple data sets. Learn how proper metadata documentation, custom triggering, and the right analysis technique will help you save only the data needed to make informed decisions. This presentation will also explore lessons learned from the Jaguar Land Rover R&D Powertrain test team which generated and analyzed over 500 GB of data per day from more than 200 dataloggers.
Attendees will learn about how to reduce development time and cost through the use of flexible and configurable mixed-signal devices. Understand the various tradeoffs and considerations when designing an IoT solution and how to optimize an IoT solution when faced with a multitude of sensor, connectivity and power options.
Light detection and ranging (LIDAR) is a key enabling technology for self-driving cars and other autonomous vehicles. Optical phased arrays (OPA) are attractive for solid-state LIDARs, eliminating bulky mechanical scanners. More importantly, it enables sophisticated beamforming such as simultaneous scanning, pointing, and tracking of multiple objects. OPAs with various types of phase modulators have been demonstrated. Large-scale OPA has been realized with liquid crystal, but its response time is too slow for automotive LIDAR. Large scan angle has been demonstrated in silicon photonics waveguides, however, they have high insertion loss and are limited to infrared wavelength transparent to Si. Micromirror-based OPA offers microsecond response time, but to date the mirror size is larger than 20µm, limiting their scan angles. In this talk we report on a novel MEMS OPA with a pitch below 2 µm. The small pitch is made possible by integrating vertical combdrive actuators underneath the mirror. The fast response time (< 2µs), large field of view (>40° at 1550nm), wavelength- and modulation-agnostic properties make it an attractive choice for solid state LIDARs.
Cyrille Trouilleau will discuss how thermal activity sensors will significantly improve the ability of smart building applications and Internet of Things to sense the environment, thereby optimizing energy management (HVAC, lighting, etc.), occupant comfort, security and safety in work and public spaces. Accurately sensing and classifying human motion data (people counting, people localization, posture classification, etc) are key.
NASA’s Journey to Mars will require a paradigm shift in our operational and engineering designs to support humans as they conduct science and exploration in the realm of deep space and beyond. NASA analog research activities, offer scientific and operational approximations of Mars-like environments where innovations can be safely and efficiently developed, tested and applied in preparation for future missions.
Within the realm of these analog missions, NASA research programs are able to address instrument and sensor design as this pertains to the development of these systems for future space flight. Furthermore, these programs can leverage both available Commercial of the Shelf (COTS) technologies and the instrument heritage of past and current NASA robotic exploration mission that are characterizing the surfaces and environments of other terrestrial bodies in our solar system in pursuit of designing flight instruments that provide rapid, in situ evaluation of planetary landscapes. These types of analytical tool suites will be critical to sample hi-grading and triage during future extra-vehicular activities (EVAs) where efficient and precise data will enable scientific return during high-risk human excursions onto the martian surface.
In order to understand the technologic limitations and to evaluate the ergonomic design of these instruments, our team has tested several spectrometers in the field during simulated human Mars exploration missions as part of NASA’s BASALT (Biologic Analog Science Associated with Lava Terrains) project in Idaho and Hawai’i in 2016. For the various exploration mission objectives, we find discrete rankings of these instruments based on data quality, as well as how these data are transmitted and communicated among science teams based on Earth, which provide sampling recommendations back to the exploration team on Mars.
We are presenting the interplay between operational aspects and the instrumentation requirements of future human exploration missions in our solar system, giving insights into the design of the next generation of handheld instruments for our journey to Mars and beyond.
The Internet of Things is complex and changing rapidly. To address the many technologies that make up an IoT solution, developers in the IoT space need to develop an ecosystem of reliable partners. NimbeLink first entered the IoT market as a component company with the innovative Skywire™ family of cellular IoT modems. Developing partnerships covering the full range of IoT capabilities, NimbeLink has evolved into an IoT solutions company. The company’s most recent cellular solution is the QTELLUS Asset Tracker.
NimbeLink CEO, Scott Schwalbe, will chair this panel and discuss NimbeLink’s approach to partnership in the IoT market and the process by which the company transitioned from a component to a solutions company. The panel will include long-time partners from leading companies in IoT including Verizon, Sequans, Digi-Key and Taoglas. The panel will address the criteria that companies would look for in building their own partner ecosystem and will conclude with a Q&A from attendees.
Join Ben Hansen to learn how data and analytics from wearables allow for performance and injury prevention discussions to be had. Attendees will explore the future of data and analytics in a broader sense.
Security has become an important issue for many microprocessor systems especially those IoT platforms connected to the Internet. Sensors need to be connected to a microprocessor and there must be security schemes present to prevent hacking and ultimate loss of system control. ARM Cortex-M processors are widely used in such systems. With ARMv8-M architecture, TrustZone hardware is added to provide a trusted system to be implemented. This includes hardware security such as sensors, GPIO and wireless.
In recent years, there has been an exponential growth in the field of flexible, printed and organic large-area electronics and sensors. These new printed electronics and sensors are fabricated on flexible plastic substrates as well as on/in fabrics, which offer advantages such as mechanical flexibility, shape conformity, light weight and low profile. The judicious use of these substrates/carrier platforms enables low-cost and high-speed manufacturing of devices over large areas using printing technologies in a Roll-to-Roll production line. Targeted applications include wearables, environmental monitoring and eHealth.
Recently, the U.S. Department of Defense (DoD) awarded $75M to FlexTech Alliance to establish and manage a San Jose-based facility to create a Manufacturing Innovation Institute for Flexible Hybrid Electronics (FHE MII). Additionally, the recent award of $75M, also by the US DoD, with $250M in matching grants from regional governments,industry and academia for the creation of a research and development consortia, Advanced Functional Fabrics of America (AFFOA), headed by MIT for the development of sensors and other electronic functions has validated the potential of this technology to create “smart fabrics” for consumer and military wearable applications.
The presentation will provide an overview of printed, flexible, stretchable, functional fabric sensors and accompanying electronics and the applications that they are currently enabling as well as their future application opportunities. Examples from current suppliers as well as highlights from leading international research organizations will be addressed.
In addition to these sensors, we will also address the challenges of their integration with other functional element of basic Internet of Things (IoT) and wearable applications. We will also address the manufacturing issues to create these heterogeneous and hybrid solutions from both a batch mode and continuous process. Finally, barriers to the successful commercialization of these sensors and recommended strategies for market success will be presented.
From smartphone to smart cities, the IoT world has been built on the great promise of the ability of sensing anything anywhere. How the sensing market will answer to this need and benefit from this opportunity? What are the sensors that will be mandatory and how will they gather value? Discover the wide range of sensors serving the IoT market and who is involved in this limitless world of IoT.
An ultra-fast, printed moisture sensor, with high moisture sensitivity, will be presented. These carbon-based, resistive-type sensors have almost instantaneous response to humidity fluctuation, with a response time of less than 10 milliseconds. The sensors are very sensitive to moisture, and are able to detect a moisture at a trace level of < 100 ppm. The sensors can operate at ultra-low power (<30 pW), have a flexible form factor, can be printed on any surface, and can be integrated with many existing devices. In addition, these derivative sensors can be integrated with slow, but accurate, moisture sensors, to achieve both ultra-high speed and accuracy in a single sensor system. Discussion on pPotential areas of applications such as s of these sensors such as monitoring inert, dry gas lines, glove boxes, lab process monitoring, breath monitoring, and speech recognition, etc. which that isthat are not possible with existing, commercial slower responding moisture sensors, will be discussed.
Target detection, distance and brightness measurements are basic requirements in industrial automation and safety. Industry 4.0 demands smart solutions: exact sensing, tiny design, smart connectivity, low power consumption, universal and cheap. This session will give an overview including pros and cons about principles of integrated optical sensors.
In today's transportation environment, systems are growing increasingly more connected and inter-operable driving the real-time demand for intelligent sensor data. A common theme in aviation and automobiles is the next generation specification known as NEXT GEN which is defining the use case for sensor data and black box telematics. This session explores sensor advances in mobile telematics, modern black boxes and next generation smart data for aviation, drones and automobiles.
Internet of Things (IoT), according to IEEE, is a self-configuring and adaptive system consisting of networks of sensors and smart objects whose purpose is to interconnect “all” things, including every day and industrial objects, in such a way as to make them intelligent, programmable and more capable of interacting with humans.
Industry experts indicate that the market of billions of IoT devices cannot be materialized without achieving interoperability, security and the capability to remotely control and update IoT constrained devices. In this session, you will learn how a device management protocol called Lightweight M2M achieves these three objectives.
LightweightM2M (LwM2M) has been developed by Open Mobile Alliance (OMA) which is the leading industry forum for developing market driven, interoperable mobile service enablers.
In this session, you will learn how the OMA LwM2M device management protocol works and how it reuses the work done by other organizations such as IETF, IPSO Alliance, and Eclipse Foundation.
Presenter will walk through the steps involved and schematic of IoT systems and share few examples of integration of Industrial sensors to the IoT cloud platform. The mechanism to transport the LwM2M payload which is done over CoAP developed by IETF. The data model used to represent the network sensors provided by IPSO alliance standards will also be demonstrated.
Consumers have become more comfortable using voice to interact with technology as this interface has become common place on higher-end electronics device such as mobile phones and home automation appliances. While convenient and commonplace, voice recognition historically is high-power in the 10s of milliamp range. This session describes in details the technical process and engineering tradeoffs of adding voice commands to battery-powered fitness, medical and wearable products. This session will cover energy aware embedded system design techniques, technologies and statistical Markov model algorithms that reduce the total signal chain current consumption in order of magnitude into the micro-amps enabling always-on, hands-free voice command recognition.
Attendees will receive a snapshot of the state-of-the-art in this fast emerging technology of Artificial Intelligence. Applicable case studies that depict the application of machine learning to signal processing problems and sensor analytics will be discussed.
Sensors and ASIC’s can each be optimized individually for performance, but to achieve the best overall system performance all factors, including the wafer fab processing, MEMS and package design, and test algorithm must be considered. This session will discuss the design and manufacturing of an ultra-low, ultra-stable pressure sensor and its tradeoffs, the ASIC and its polynomial digital correction algorithm and overall tailored test methodology. Measured data for both pressure and flow applications will be shared, showcasing the ease of tailored calibration for very demanding applications in industrial (HVAC) and medical (CPAP, ventilators).
Analog designers require solutions to highly complex sensing problems in today’s world. Challenges like ambient light, reliable presence detection, package size, and harsh environments vex designers on a regular basis as they develop solutions for critical applications. In this session, Brooks will uncover strategic approaches on how to effectively address some of the most common sensor issues in the industry using integrated optical sensing technology.
Led by Roger Grace, this panel will be comprised of a range of university professionals from the Dean of a prominent Engineering School to a graduate student, and will explore the future of engineering education and career exploration.
The emergence of the Industrial Internet of Things (IIoT) market is a response to the need for enormous amounts of data to monitor remote infrastructure and dispersed assets. While sensor capabilities have evolved, there is much to be done to enable the IIoT to reach its full potential. CTO of IIoT remote monitoring provider Ayyeka, Yair Poleg, will discuss how technical specifications will keep sensor manufacturers competitive in an age in which full-stack, streamlined, secure solutions are the way forward.
Attendees will learn how best Embedded Machine Learning with Sensing Fusion can enable the upcoming innovative use-cases from the highly fragmented IoT long-tail small companies and single-digit developers to prototype and deploy connected sensing products.
This seminar will discuss the basic principles of photoplethysmography (PPG), the physiology involved and methods for measurement. Attendees considering a new wearable design will gain insights on the system design trade-offs, with real data backed by simulations, whereas those interested in low-power wearables will learn simulation and electronics design techniques for extending the life of their product. Engineers interested in physiological monitoring will benefit from this in-depth technical tutorial of the entire opto-electrical system for heart rate and pulse oximetry.
This session will educate attendees about using low power RADAR sensors for a number of IoT applications. RADAR sensors can provide information about objects 10's of meters away compared to existing sensors capable of the immediate environment.
Humans spend an overwhelming majority of time indoors, but not until very recently has the case for indoor air quality monitoring been recognized as just as important for health as outdoor pollution. This presentation demonstrates the necessity for monitoring IAQ levels in homes, offices, schools and other buildings that humans inhabit frequently. It details the ecosystem of sensors required for an intelligent IAQ monitoring system. It describes the differing sensor types and technologies required to meet the users expectations for a system that can undertake preventative action when quality levels diminish. It describes the roles of various sensor types, for example MOX gas sensors for VOCs, PM2.5 for airborne particulates, NDIR for CO2, CO and Temperature + Humidity. It shows the interaction and algorithms required to control such a system and demonstrates the need for integration and collaboration of these sensor types and technologies.
This session introduces the Line Confocal Imaging (LCI) method and sensors that enable high-speed 3D measurement of highly reflective, transparent, curved and other surfaces and features that are difficult or impossible to measure with traditional methods, such as laser triangulation. LCI’s strengths and weaknesses are discussed and various LCI sensor applications will also be explored.
Sensors and Analytics have been dating for a while and together producing a lot of data. IoT loves Analytics (but only when it's at its best). It also loves Cloud, which makes for a complicated relationship. Cloud and its partner, Storage, love almost everyone, but sometimes have some communication issues.
Gain an overview of the Linux Control and Measurement Interface for Data Acquisition and Analysis while learning the basics of data acquisition and analysis with Linux along with the basics of motion control. Additional introductions to the real time extensions to the Linux kernel along with developer recommendations will be provided.
Attendees will learn considerations of adding biometric sensors to wearable hardware designs, including optical and skin temperature sensor selection, placement, signal quality, optical overlay design, fit, electrodes, and ambient light blocking considerations. The presentation will cover some of the tradeoffs for performance versus power consumption and cost of their solution. We will discuss the impact of ambient light noise on performance and optical blocking techniques. The presentation will also cover methods to reduce noise due to motion artifacts, including band design, skin contact, and use of an accelerometer to mitigate noise in the system.
Ultra Wideband (UWB) radio ranging sensors enable precise localization in areas where GNSS either struggles or doesn’t work at all indoors, dense metropolitan areas, canyons, and tunnels. This session will provide an overview of the enabling sensors and software and discuss real world examples where UWB is being used to increase safety and automate vehicles in these types of environments.
Miniaturization, mobility and combined technologies make environments using sensors extremely challenging, but its opened new worlds, enabling us to sense things in places never before obtainable. Learn what these advancements mean for future systems.
