SEMI

Why Is Smart Parking a Hot Topic? Poorly managed parking resources have a substantial negative impact on cities — one that has been well-documented. According to industry studies, poorly managed parking: Increases Traffic Congestion: 30% of traffic is caused by ongoing circling for parking. Increases Pollution: In Westwood, California, cruising for parking burned 47,000 gallons of gas and generated 730 tons of carbon dioxide in one year. Frustrates Drivers: Urban drivers spend an average of 20 minutes per trip looking for parking. Stifles Economic Opportunities: Traffic congestion cost Americans $124 billion in 2013, and this is predicted to rise to $186 billion by 2030. These problems are getting worse. As a result of growing urban populations, cities account for more than 80% of carbon emissions globally. Unplanned or inadequately managed urban expansion leads to rapid sprawl, pollution and environmental degradation. Due to the lack of parking-space availability, for example, Japan is ranked among the most expensive countries for paid parking. If left unaddressed, poor parking management will continue to plague cities, both large and small. Fortunately, Smart City Internet of Things (IoT) initiatives are helping cities to address their parking issues. IoT to the RescueThere are three key drivers of Smart City IoT initiatives. Cities want to: Improve the overall quality of life and mobility in urban environments Leverage technology to augment and improve existing infrastructure and services that citizens rely on every day Foster both economic and environmental improvements The availability of high-accuracy vehicle detection sensors coupled with affordable, low-power connectivity has enabled a new generation of Smart Parking technology. However, choosing the right Smart Parking solution is essential.High-accuracy vehicle detection sensors can provide valuable data to city planners and parking managers. This information includes: Parking availability Traffic flow Parking occupancy rate and historical data Turnover For parking management to effect change, city traffic managers, parking managers and urban planners need a holistic view of parking availability and usage patterns, and users need real-time information about available parking spaces.Sensors, cameras and communication networks form the basic infrastructure for Smart Parking. To deliver on the promise of IoT and to help cities improve the overall quality of life for residents and visitors, cities need a complete smart parking solution that provides: Accurate real-time vehicle detection and location of available parking spaces – significantly reduces the amount of time spent cruising for parking spaces, giving drivers the precise location of available spaces Connectivity from the sensor to the cloud – facilitates real-time parking data that city planners, parking enforcement and traffic managers can use to reduce traffic congestion Parking applications for cities, parking-lot owners and drivers — enables navigation to available parking and supports mobile payment, streamlining the parking process. Parking applications can also direct traffic enforcement personnel to parking violations as they occur, helping to alleviate traffic bottlenecks, such as double parking in loading zones. Such applications also improve the efficiency of other city services such as public transportation and garbage collection. Complete Smart Parking Solution – Sensor to Cloud (Source: PNI Sensor) To learn how cities are using Smart Parking sensors to improve the services they offer to residents and visitors, come see PNI at SEMI’s 2019 FLEX Japan MEMS Sensors Forum (May 22-23, Toyko, Japan). PNI President and CEO Becky Oh and PNI’s partner, Macnica Networks, will share Smart Parking use cases from innovative cities, corporate campuses and universities (Smart Parking presentation, May 22 from 16:55-17:25). Register for the conference today. For more information about PNI Sensor, visit the PNI Sensor website. Becky Oh is the president and CEO of PNI Sensor. Throughout her 20 years with the company, Ms. Oh has held a range of senior-level positions, from operations to technical business development. She received an M.S. degree in Electrical Engineering from Cornell University and a B.S. in Electrical Engineering and Computer Science from MIT. Ms. Oh holds multiple patents in the area of devices with multi-sensing and reporting capabilities.

For nearly two decades, Sean Ding, CTO and chief scientist of Alibaba Cloud IoT, has worked in software and algorithm architectures, sensing, semiconductors, systems and cloud computing – all areas that have contributed to the rise of the Internet of Things (IoT). It’s no surprise, then, that Alibaba is leading next-generation innovation for the IoT. Ding will bring his expertise to his role as moderator of Brave New World - MSIG Conference on AI+IoT 2019, a half-day forum March 20, 2019, at SEMICON China in Shanghai, China. Maria Vetrano of SEMI spoke with Ding about technologies key to the IoT era including MEMS, sensors, artificial intelligence (AI), edge gateways and cloud computing. SEMI: MEMS sensors are widely used in IoT devices. What is the relationship between AI and MEMS sensors?DING: While MEMS sensors and AI will increasingly co-reside in end-user devices, I do not recommend adding AI next to the sensor (in the same package). That’s because designers continue to use the ASIC for signal conditioning, so A/D converters are still required. Rather, we should look to edge gateways to carry the majority of the workload, including deep learning, because this reduces system complexity and power consumption.SEMI: Why are smarter sensors shifting data processing and analytics to the edge of IoT devices?DING: Data processing and analytics are very important for IoT devices, but we need to focus on understanding the data, parameter calibration and more. The MEMS sensor industry should leave big data analytics to edge computing and cloud computing because AI requires deep learning, demanding a huge amount of data.The challenge is to find the sweet spot for data processing right next to the sensor element.SEMI: What is China’s evolving role in innovation in MEMS sensors for IoT devices?DING: At present, the MEMS community in China needs to figure out how to innovate instead of copying existing technologies, a low-margin business that will not help to grow the industry. One reason why I am so pleased to see the MSIG Conference on AI+IoT in China is that it will encourage greater creativity in the MEMS community in China, and this will ultimately lead to Chinese companies and R D institutions leading innovation rather than copying it.SEMI: What is the right approach to combining smart MEMS sensors with AI in IoT devices? Why is this important for both domestic Chinese and international markets?DING: Combining data from sensors with cloud-edge computing is the right approach. As sensor companies increasingly provide end-to-end solutions, such as “sensor+ firmware + SaaS + app,” we will realize easier and faster integration of sensors in IoT applications.This is incredibly important because China today is the world’s biggest market for IoT hardware. China has 2,000-plus design houses, 200-plus OEMs and thousands of distributors. That said, we still see a highly fragmented market that will benefit from a faster integration methodology.Faster integration of MEMS sensors and AI/machine learning for IoT hardware will benefit designers in international markets as well.SEMI: What do you hope MISG Conference on AI+IoT attendees will take away from the forum? DING: MEMS sensors are highly fragmented, reflecting the highly fragmented applications in which they play. The MEMS sensors industry should figure out how to provide one-stop-shopping solutions for vertical markets. This will speed the scalability of applications and expedite the growth of sensor production. Sean Ding (柯镇) will moderate Brave New World - MSIG Conference on AI+IoT 2019 at SEMICON China on Wednesday, March 20, 2019, at Kerry Hotel Pudong in Shanghai, China.This conference has been organized by the MEMS Sensors Industry Group (MSIG). Register today to connect with Sean Ding and featured speakers at the event.Speakers at the MSIG Conference on AI+IoT 2019 at SEMICON China include: Welcome and Introduction / 欢迎辞Carmelo Sansone, Director, MEMS Sensors Industry Group (MSIG), a SEMI technology community AI Needs Accurate Data – MEMS Sensors Can Provide It / MEMS传感器为人工智能提供真实数据Andrea Onetti, Group VP of Analog MEMS Group, GM of MEMS Sensor Division, STMicroelectronics Enhanced IoT Edge by Smart Sensors / 智能传感器助力IoT边缘智Bennini Fouad, Regional President Asia Pacific, Bosch Sensortec Horizon AI Processor Solution, Enable Industries in AI Time / 地平线AI芯片解决方案，赋能千万业Carl Zhang 张永谦, General Manager/VP, Smart Chip Solutions Division, Horizon Robotics Inertial Sensors in AI Applications / 运动传感器AI应用案例Ben Lee 李彬 , CEO, mCube Ultra-Low-Power Solutions: an Ecosystem Approach / 超低功耗的生态链解决方案Carlos Mazure, IEEE Fellow, Chairman Executive Director, SOI Industry Consortium High-Integrity, Fault-Tolerant Open Inertial Measurement Platform for AI-based Vehicle Automation / 适用于人工智能车辆自动控制的高集成及容错的惯性测量开放平台Dan Dempsey, Senior Director of Automotive, ACEINNA Maria Vetrano is a public relations consultant at SEMI.

At the SEMI FLEX 2019 and MEMS Sensors Technical Congress (MSTC) (MSTC) February 18-21 in Monterey, California, I had the pleasure of meeting many old friends and colleagues as well as making some great new acquaintances. With MEMS and sensors still a relatively young industry, I am delighted that our community is thriving. We continue to see double-digit growth rates, there is plenty of innovation, and the technology generates massive amounts of data that gets everyone excited about artificial intelligence, deep and machine learning, and blockchain. Those are all the buzzwords that any tech startup needs for funding these days.While it is hard to single out any one presentation at conferences, I was particularly struck by Nadia Shakoor’s keynote address, “Driving Advances in Crop Breeding and Smart Farm Management.” From Nadia I learned that the world’s largest agriculture sensing platform was a mere 45 minutes south of where I live in Phoenix, Arizona. This is a major embarrassment to admit as I have lived here for almost 30 years, have been involved in MEMS and sensors for a decade, and have a particular passion for the use of sensors in agriculture and food to improve crop yields and food quality, and to reduce food waste. This humongous sensor was hiding in plain sight right under my nose!After Nadia’s keynote, I just had to speak to her at the break. Nadia is the senior research scientist and project director for TERRA-REF at the Danforth Plant Science Center based in St. Louis, Missouri. Nadia’s work employs field-level crop phenomics, the biological study of the set of physical and biochemical traits belonging to a given organism (phenomes). Phenomes are fascinating because they change in response to genetic mutation and environmental influences. The Danforth Plant Science Center and its partners are involved in many phenotyping projects using autonomous vehicles, drones, field scanners, satellite imaging and more.After the FLEX MSTC event, I emailed Nadia to ask if I could visit the field scanner and her partner team at the University of Arizona in Maricopa, Arizona. She kindly introduced me to Maria Newcomb, a plant research scientist at the site, who gave me a good look at this mother of all field scanners: the Transportation Energy Resources from Renewable Agriculture Phenotyping Reference Platform (TERRA-REF). TERRA-REF aims to transform plant breeding by using remote sensing to quantify plant traits such as plant architecture, carbon uptake, tissue chemistry, water use and other features to predict the yield potential and stress resistance of 400+ diverse sorghum lines. The TERRA-REF Field Scanner at the University of Arizona Maricopa Agricultural Center. It’s the largest field crop analytics robot in the world, one that’s critical to the crop research underway at the Donald Danforth Plant Science Center in St. Louis, Missouri. Source: Steve Whalley TERRA-REF’s Lemnatec Field Scanalyzer is the largest field crop analytics robot in the world. This high-throughput phenotyping field-scanning robot has a 30-ton steel gantry that autonomously moves along two 200-meter steel rails that have recently been extended another 170 meters. It continuously images the crops growing below it by using a diverse array of cameras and sensors to observe the field at a dense-collection frequency with high resolution. These sensors include RGB stereo; thermal, chlorophyll fluorescence imaging system; hyperspectral cameras; a 3D laser scanner; and environmental monitors.Plant breeding is currently limited by the speed at which phenotypes can be measured, and the information that can be extracted from these measurements. Current instruments used to quantify plant traits do not scale to the thousands or tens of thousands of individual plants that need to be evaluated in a breeding program. The TERRA-REF field scanner system, on the other hand, uses sensors to scan over one acre of plants, collecting thousands of daily measurements throughout the growing season, and these are used to determine plant phenotypes and inform breeding decisions. TERRA-REF’s advanced sensor technologies include: Hyperspectral (250nm-2500nm) Thermal Infrared 2D and Stereo RGB PSII chlorophyll fluorescence 3D laser Environmental sensors The TERRA-REF field scanner platform features a massive sensor-rich scanner head. Source: Steve Whalley The humongous TERRA-REF field-scanner was certainly a sight to behold, looming like a cargo-ship container crane in the vast flat plains of the Arizona desert landscape. I’ve only scratched the surface of what this enormous sensor platform can accomplish so if you are a MEMS/sensor company interested in agriculture and food production, I encourage you to get more information at terraref.org and pay a visit next time you are in the area.Steve Whalley, CEO, Strategic World Ventures, is a strategic consultant to SEMI-MEMS Sensors Industry Group (MSIG). He also consults with established and emerging semiconductor, MEMS and sensors companies.