RetailWire | September 30, 2020
The real-time store Internet of Things platform is moving into the mainstream, climbing out of the “trough of disillusionment” into the “slope of enlightenment,” according to Gartner’s “2020 Hype Cycle for Retail Technologies” report.
These platforms “monitor, analyze and display store activity through dashboards using a real-time data infrastructure, via signals and alerts from real time data sources that are available within the retail store,” according to Gartner.
Few, if any, existing in-store technologies enable retailers to reap the benefits of the “network effect.” Within an IoT context, the network effect connects multiple individual initiatives together holistically to benefit from their synergy.
More than this, it enables an automated and rapid response to events within the store or supply chain: adjusts lighting in response to in-store traffic; automatically adjusts a promotion in response to unforecasted demand; proactively deploys staff based on projected need; replenishes product on shelf, just-in-time — the list goes on.
SensiML | February 09, 2022
SensiML™ Corporation, a leading developer of AI tools for building intelligent Internet of Things (IoT) endpoints, today announced that it has teamed with Infineon Technologies to deliver a complete AI/Machine Learning (ML) solution for the Infineon PSoC™ 6 family of microcontrollers (MCUs) and the wide range of sensors they support. The collaboration combines SensiML's Analytics Toolkit AI development software with the Infineon ModusToolbox™ and ultra-low power dual-core PSoC 6 MCUs, offering developers a quick and easy way to record data from Infineon XENSIV™ sensors, create sophisticated AI/ML-based models, and implement them on PSoC 6 MCUs. Using this approach, designers with little to no data science expertise can add local intelligence to their IoT designs for smart home, industrial, fitness, and other applications.
SensiML and Infineon are marking the beginning of the collaboration with a "Build AI for the IoT Design Challenge" on Hackster.io. The contest will challenge innovators to use the SensiML Data Analytics Toolkit and Infineon ModusToolbox™ software along with Infineon's XENSIV sensors, Wi-Fi/Bluetooth connectivity ICs, and PSoC 6 MCUs to capture and label sensor data, train AI/ML models, and deploy the resulting AI/ML solution on a PSoC 6 MCU to create intelligent endpoint applications. The goal of the challenge is to highlight how quick and easy it is for developers to use the complete end-to-end development platform provided by the two companies to implement local, low power, sophisticated AI-based IoT edge devices.
The SensiML Analytics Toolkit uses labeled datasets to quickly create efficient AI models and allows developers to use them to implement smart, high performance edge algorithms without the need for hand coding or data science expertise. This toolkit nicely complements the PSoC 6 family, which is based on an ultra-low power architecture ideal for battery-powered edge IoT applications. The PSoC 6 family features dual-core Arm® Cortex®-M4 and Cortex-M0+ processors, which enable design partitioning for simultaneous power/performance design optimization. The dual-core architecture also enables users to run their AI application generated by the SensiML tools on one processor, and their application code on the other processor.
"Infineon has a large and loyal following for their innovative and extensive sensors, MCUs, and associated development tools. SensiML complements that offering with AI/ML tools that make it easy for developers to add sophisticated AI functions in a small memory footprint with ultra-low power consumption. With AutoML support covering a broad array of sensor inputs, SensiML is an ideal solution for IoT edge processing across Infineon's XENSIV portfolio."
Chris Rogers, chief executive officer of SensiML
"SensiML offers a quick and easy path for our PSoC 6 MCU, connectivity and sensor customers to add low-power, local intelligence to their edge IoT applications," said Steve Tateosian, vice president of IoT Compute and Wireless Product and Business Line at Infineon. "Through our mutual collaboration, we can now offer a complete suite of software and hardware development tools and products, enabling developers and Hackathon participants to create next-generation smart endpoint IoT devices for a wide range of end uses."
SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company's flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto generation, and testing. The SensiML Toolkit supports Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations.
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Newark Electronics | July 08, 2021
Newark, an Avnet Company and global distributor of electrical components, products, and solutions, has published new research on the Internet of Things (IoT) that shows the increasing importance of IoT for industrial automation and control applications critical to delivering Industry 4.0. In addition, Newark’s annual IoT Survey provides new insights on this critical market, including possibilities and challenges for IoT engineers.
0Industrial automation and control (25%), home automation (18%), and artificial intelligence are the top three industry sectors leading the way in IoT applications (12%). Despite the fact that industrial automation and control are regarded as key markets for IoT, it is accepted that Industry 4.0 adoption is slow, include anything to security concerns (32% ), and a lack of business strategy (30%) impeding the adoption and integration of smart manufacturing solutions. Security is the most important factor for developers to consider (29%) when developing their design and their primary concern (36%), followed by connection and interoperability.
The perceived value of data collected by IoT-connected devices plays a significant role in IoT adoption. Devices and systems in the increasingly connected world of smart cities, industries, homes, and cars are now automatically sharing and storing data. This data enables organizations to enhance, boost revenues, or reduce costs across a wide range of business functions, all while providing better quality, greater efficiency, compliance, and predictive maintenance advantages. According to the survey, 48% cited increased productivity and industrial efficiency as the primary reasons for integrating IoT connectivity.
Surprisingly, respondents continue to include AI in their solutions. 39 % said they are currently utilizing AI in their ideas, and 47% said they would incorporate AI in future projects. Environmental sensors are the most frequent sensors used in IoT devices, and they are used to monitor temperature, humidity, pressure, gas, and other variables. In each of the three years that Newark has conducted the survey, there has been a consistent trend. The survey also discovered that many respondents use SBCs as the basis of their IoT designs (48%).
Innovative solutions for smart homes, industry, the marketplace, and government are paving the way for the future of the Internet of Things (IoT). According to research, the Internet of Things will continue to be essential in future designs. Nonetheless, when asked whether their business is playing a leadership role in creating the future of IoT, half of the respondents (49%) indicated that they had 0-25 % confidence that their company will take a lead role in shaping IoT. Only 11% of respondents predicted being ahead of the IoT curve and having a clear vision for its future.
The effect of the COVID-19 pandemic on the IoT industry in 2020 resulted in fast growth in the development of new medical devices and systems, which can drive future demand for better connected medical equipment. IoT is changing the way patients are diagnosed, treated, and monitored and assisting with vaccine tracking, inventory management, and other tasks. A quarter of survey respondents believe healthcare will be the next major sector to benefit from IoT connectivity innovation. The usage of SBCs as the basis of IoT design is also consistent with anecdotal feedback from customers that, during the COVID-19 pandemic, design engineers embraced development kits and single-board computers as they designed at home.
Newark’s 2020 IoT survey also provides insights on ‘wireless vs. wired’ connectivity decisions in IoT design, preferred vendors, the most popular SBCs for new IoT designs, the most frequently used programming languages, and communication preferences.