INDUSTRIAL IOT

Qeexo, and Bosch Enable Developers to Quickly Build and Deploy Machine-Learning Algorithms to Bosch AI-Enabled Sensors

Qeexo | June 02, 2022

Qeexo
Qeexo, developer of the Qeexo AutoML, and Bosch Sensortec GmbH, a technology leader in MEMS sensing solutions, today announced that machine learning algorithms created using Qeexo’s AutoML can now be deployed on Arduino Nicla Sense ME with Bosch BHI260AP and BME688 sensors. Qeexo AutoML is an automated machine-learning (ML) platform that accelerates the development of tinyML models for the Edge.

Bosch's BHI260AP self-learning AI sensor with integrated IMU, and BME688, a 4-in-1 gas sensor with AI, significantly reduce overall system power consumption while supporting a wide range of applications for different segments of the IoT market.

Using Qeexo AutoML, machine learning (ML) models–that would otherwise run on the host processor–can be deployed in and executed by BHI260AP and BME688. Its highly efficient machine learning models–that overcome traditional die-size-imposed limits to computational power and memory size–extend to applications that transform and improve lives. For example, they can be used for: Monitoring environmental parameters, including humidity and Air Quality Index (AQI); and capturing information embedded in motion, such as person-down systems to fitness apps that check posture. These devices typically have a longer time between charges and provide actionable information.

“Qeexo’s collaboration with Bosch enables application developers to quickly build and deploy machine learning algorithms on Bosch’s AI integrated sensors, Machine learning solutions running on Bosch’s AI integrated sensors are light-weight and do not consume MCU cycles or additional system resources as seen with traditional embedded ML.”

Sang Won Lee, CEO of Qeexo

“Bosch Sensortec and Qeexo are collaborating on machine learning solutions for smart sensors and sensor nodes. We are excited to see more applications made possible by combining the smart sensors BHI260AP and BME688 from Bosch Sensortec and AutoML from Qeexo.” said Dr. Stefan Finkbeiner, CEO at Bosch Sensortec.

About Qeexo
Qeexo is the first company to automate end-to-end machine learning for embedded edge devices (Cortex M0-M4 class). Our one-click, fully-automated Qeexo AutoML platform allows customers to leverage sensor data to rapidly build machine learning solutions for highly constrained environments with applications in industrial, IoT, wearables, automotive, mobile, and more. Over 300 million devices worldwide are equipped with AI built on Qeexo AutoML. Delivering high performance, solutions built with Qeexo AutoML are optimized to have ultra-low latency, ultra-low power consumption, and an incredibly small memory footprint.
Qeexo Co.

About Bosch Sensortec GmbH
Bosch Sensortec GmbH is a fully owned subsidiary of Robert Bosch GmbH dedicated to the world of consumer electronics; offering a complete portfolio of micro-electro-mechanical systems (MEMS) based sensors and solutions that enable mobile devices to feel and sense the world around them. Bosch Sensortec develops and markets a broad portfolio of MEMS sensors, solutions and systems for applications in smart phones, tablets, wearable devices, and various products within the IoT (Internet of Things).

Spotlight

"As the modern world becomes increasingly connected, businesses and consumers alike are relying more and more on digital data—from documents to video to audio. Behind the scenes, datacenters that manage all of this digital data are a somewhat silent, yet impactful, part of this connectivity revolution. These centers are lined with servers that process digital data for everything from social media status updates to web searches to cloud computing. Each of these servers requires energy to run as well as energy to keep them cool, and the centers are typically filled with additional machines for redundancy. In the US alone, datacenters consume anywhere from 1.5% to 3% of the country’s energy production. How can the chip design industry make datacenters more energy efficient? This paper examines system techniques, including virtualization, as well as design considerations and protocol improvements that can lower the energy utilization of datacenters."


Other News
DEVICES

Velodyne Lidar Signs Multi-Year Agreement with Stanley Robotics

Velodyne Lidar | September 29, 2022

Velodyne Lidar, Inc. announced a multi-year agreement to provide its lidar sensors to Stanley Robotics for an automated valet parking solution. The innovative service uses autonomous handling robots to help car parks to improve the customer experience and increase the number of vehicles that can be stored. Stanley Robotics is working with Velodyne’s Puck and Velarray M1600 lidar sensors to provide perception and navigation capabilities that enable its all-electric Stan robot to operate autonomously and safely. The sensors provide real-time 3D perception data for localization, mapping, object classification and object tracking. Velodyne’s power-efficient sensors support Stan robots in a wide range of challenging environmental conditions, including varied temperature, lighting and precipitation. The Stanley Robotics automated valet parking solution equipped with Velodyne sensors is already in operation in airports and finished vehicle logistics in Europe and Japan, with further deployments expected in 2023, including North America. “High-performance sensors are key to enabling our autonomous mobile robots to reliably navigate and maneuver in narrow parking lanes, Velodyne’s lidar sensors deliver the performance for Stanley Robotics’ innovative solutions. This agreement reflects Velodyne's ability to serve the unique nature and high-level requirements of our use cases. This partnership with Velodyne also provides Stanley Robotics privileged access to best-in-class technology in the field of lidar sensors.” Mathieu Lips, COO, Stanley Robotics “Stanley Robotics is transforming logistics for vehicles with its autonomous mobile robot technology,” said Laura Wrisley, Senior Vice President, Worldwide Sales, Velodyne Lidar. “Equipped with Velodyne’s lidar sensors, Stan robots provide the precision needed to safely move, park and deliver cars where and when customers need them. This advanced system aligns with efficiency and sustainability goals of car park operators, parking cars in dense blocks and relieving the need to add costly new parking areas.” Stanley Robotics is partnered with Mitsubishi Heavy Industries, Ltd. (MHI) to deliver business opportunities in Japan and Asia-Pacific and collaborate on future industrial projects. The initiative combines Stanley Robotics’ advanced expertise in autonomous mobile parking robots and MHI’s industrial power. Also, MHI invested in Stanley Robotics technology to accelerate the delivery of value to customers. Transforming Car Parks with Advanced Technology Using the Stanley Robotics parking service, equipped with advanced autonomy technology utilizing Velodyne’s lidar, drivers leave their vehicles at a dedicated drop-off/pick-up area where the robot takes the car to a secure parking area not open to the public. When customers return, the car is waiting in the designated area, providing drivers with significantly enhanced convenience. The Stanley Robotics automated valet parking service, powered by Velodyne’s lidar, enables efficient use of limited parking space at airports, shopping malls and more, fitting more vehicles in a single line just centimeters apart. Car parks can then increase the number of cars in a given area by up to 50 percent. About Velodyne Lidar Velodyne Lidar ushered in a new era of autonomous technology with the invention of real-time surround view lidar sensors. Velodyne, the global leader in lidar, is known for its broad portfolio of breakthrough lidar technologies. Velodyne’s revolutionary sensor and software solutions provide flexibility, quality and performance to meet the needs of a wide range of industries, including robotics, industrial, intelligent infrastructure, autonomous vehicles and advanced driver assistance systems (ADAS). Through continuous innovation, Velodyne strives to transform lives and communities by advancing safer mobility for all. About Stanley Robotics Stanley Robotics is a deep tech company that combines hardware and software to provide solutions for outdoor logistics. The technology lies in a robot lifting and moving cars autonomously and in an intelligent storage management software. Robotics has transformed indoor logistics (e.g., in warehouses), resulting in a spectacular increase of productivity. Stanley Robotics’ ambition is to bring this transformation to outdoor logistics with their proprietary technologies. Founded in 2015, the SME is headquartered in Paris, France, and is also behind the world's first outdoor robotic valet parking service.

Read More

ENTERPRISE IOT

Blueforce Introduces Demographics Plugin for Stream IoT Sensor Processing and Cueing

Blueforce Development Corporation | July 14, 2022

Blueforce Development Corporation, a leader in edge-based IoT sensor fusion, cueing, and autonomous orchestration, today launched Blueforce Demographics Plugin, a composable service that delivers ultra-low latency gender and age group identification for use alongside of other sensors and services for enhanced recognitional support. The Blueforce Demographics Plugin runs as a composable service within BlueforceEDGE and is powered by Suspect Technologies, a recognized leader in cognitive services and redaction technology, and was founded by Jacob Sniff and Srikanth Parupati. Blueforce has partnered with Suspect Technologies given their successful record in public safety, but more importantly, their world-class auto-redaction technology that ensures privacy and anonymity while providing data-driven autonomous triggering of content, data workflows, and sensor cueing. The Demographics Plugin, combined with Suspect Technologies' CJIS-compliant platform, provides industry-leading accuracies of over 80% with sub-100 millisecond image processing, enabling quick response time and large-scale processing. "Jacob and the team at Suspect Technologies have a stellar reputation for AI that ensures privacy and anonymity. The Blueforce Demographics Plugin is an essential component for our entry into retail, sports and spectaculars, and other verticals where enhancing the customer experience and loyalty is paramount," Michael Helfrich, CEO at Blueforce The Blueforce Demographics Plugin for BlueforceEDGE was built based on customer requests for specific IoT orchestration use cases to include: Content and Ad Targeting: By providing accurate gender, ethnicity, and age group data, targeted content and ads on displays can be delivered to the right people at the right time with a more personalized experience for each and every customer. Impressions and Impression Time: Demographics can serve as validation that an ad impression occurred for a specific gender/age group and for how long, providing additional insights for out-of-home advertising and more. BlueforceEDGE software from Blueforce is an autonomous mobile edge compute software platform for forward IoT sensor fusion with edge-based processing for unattended ground sensors, AI/ML information services, and data interoperability. The Blueforce Demographics Plugin for BlueforceEDGE provides core demographics services while enabling disparate sensors and intelligent displays to interact with each other and leverage demographics across a wide array of autonomous operations. "The BlueforceEDGE sensor fusion product, combined with Suspect's leading video analytics, will have a large impact across smart city and commercial use cases. We feel honored to partner with a market-leading sensor fusion organization such as Blueforce to bring cutting-edge technology to so many organizations, which will help drive marketing operational efficiencies and safety," said Jacob Sniff, CEO at Suspect Technologies, Inc.

Read More

DEVICES

L-com Expands Line of Sensors to Address IoT Applications

L-com | August 25, 2022

L-com, an Infinite Electronics brand and a supplier of wired and wireless connectivity products, recently announced it has expanded its line of sensors that address IoT applications. The new IoT sensors offer pinpoint accuracy in measuring pressure, temperature, humidity, dissolved oxygen, electrical conductivity, pH, chlorine and turbidity. L-com's new pressure and temperature sensors feature a micro-fused silicon strain gauge, a leak-free elastomer structure, integrated temperature compensation, independent pressure and temperature outputs, and robust resistance to shock, overload and vibration. Their applications include industrial process and control, automated detection, hydraulic and full-motion control, pumping stations and water treatment systems. Additionally, L-com has added more than two dozen new temperature sensors. Some feature a sensitive platinum resistance element inside a 316L stainless steel probe, and a laser-welded housing that is compatible with both gas and liquids. Some models have infrared sensors that offer continuous measurement without contacting the measured object, a 32-bit CPU, and an optimized lens for a more uniform beam and measurements within milliseconds. Also new is a selection of temperature switches, digital temperature transmitters, and compact infrared sensors for tight spaces. These products are useful in ventilation, hydraulic, pneumatic, HVAC, water treatment and automation system applications. The new, IoT-friendly temperature and humidity sensors include a duct-mount model for air stream measurements, and two wall-mount sensors with RS-485/Modbus RTU output. Their applications include building automation, greenhouses, pharmaceutical manufacturing and chemical production. In its new SRWQ series, L-com offers five new sensors for gauging dissolved oxygen, electrical conductivity, pH, residual chlorine and turbidity. These IoT sensors can be used in chemical production, food and beverage processing, pharmaceuticals, agriculture, desalination plants, petroleum refining, cooling towers and boilers, and treatment of water, sewage and industrial waste. "There is a big demand for IoT-connected sensors in just about every industry. L-com is meeting this need with IoT sensors that are not only extremely accurate but rugged enough to deliver day in and day out even in harsh environments. By offering a wide range of sensors off-the-shelf with same-day shipping, we can meet our customers' urgent demands," Tim Houghton, Product Line Manager L-com's new IoT sensors are in-stock and available for immediate shipment. About L-com: L-com, a leading manufacturer of wired and wireless connectivity products, offers a wide range of solutions and unrivaled customer service for the electronics and data communications industries. The company's product portfolio includes cable assemblies, connectors, adapters, antennas, enclosures, surge protectors and more. Headquartered in North Andover, Mass., L-com is ISO 9001: 2015 certified and many of its products are UL® recognized. L-com is an Infinite Electronics brand. About Infinite Electronics: Based in Irvine, Calif., Infinite Electronics is a global electronics supplier offering a broad range of components, assemblies and wired/wireless connectivity solutions serving the aerospace/defense, industrial, government, consumer electronics, instrumentation, medical and telecommunications markets. Its brands are Pasternack, Fairview Microwave, L-com, MilesTek, ShowMeCables, NavePoint, INC Installs, Integra Optics, PolyPhaser, Transtector, KP Performance Antennas, RadioWaves and Aiconics. Infinite serves its customer base with deep technical expertise and support, with one of the broadest inventories of products available for immediate shipment, fulfilling unplanned demand for engineers and technical buyers. Infinite Electronics is a Warburg Pincus portfolio company.

Read More

ENTERPRISE IOT

Efinix Low Power, Small Footprint FPGA Selected for SPRESENSE Development Platform

Efinix | August 22, 2022

Efinix, an innovator in programmable product platforms and technology, today announced that its popular Trion® T20 FPGA has been selected for the Sony Semiconductor Solutions Corporation’s SPRESENSE™ HDR Camera Board. The HDR Camera Board is one of the extension options available for the SPRESENSE ultra-low power development platform designed as an open-source environment for edge and IoT applications. This small form factor development kit leverages the tiny 3.6mm X 4.5mm wafer level chip scale package available for the Trion T20. Featuring embedded MIPI, Integrated DDR3, a high I/O to logic ratio and small physical size, the Trion T20 is ideal for edge and IoT applications. “The Trion T20 WLCSP delivers high compute performance in a tiny, low power package and has been selected for many IoT and vision applications worldwide, We are delighted that Sony has been able to leverage the clear advantages of the T20 device in a development kit targeting these challenging markets.” Mark Oliver, Efinix VP of Marketing The SPRESENSE platform features a 6 ARM core microcontroller, integrated GPS, and high resolution audio CODECs. Targeting diverse markets from smart cities to industrial IoT and smart speakers, it features ultra-low power and a small physical size. Several extension boards are available to tailor the capabilities of the SPRESENSE platform to vertical markets. The HDR Camera expansion board features the T20 WLCSP and delivers 120bB of dynamic range for crystal clear imaging in challenging or low light conditions. “The Trion T20 WLCSP proved to be a very compelling solution for us. The low power and small physical size meant that we were able to add design flexibility without compromising the stringent design constraints of the SPRESENSE platform,” said Kenichi Nakano, General Manager, Sony Semiconductor Solutions Corporation. About Efinix Efinix, an innovator in programmable products, is committed to delivering the low power and reconfigurability of its high-performance Titanium FPGA silicon platforms for applications in the mainstream market. Efinix FPGAs deliver power, performance, and area advantages over traditional FPGA technologies, unlocking new applications and delivering rapid time to market. Titanium devices range from 35K to 1M logic elements, have a small form-factor, low-power, and are priced for high-volume production. The Efinity® Integrated Development Environment provides a complete FPGA design suite from RTL to bitstream.

Read More

Spotlight

"As the modern world becomes increasingly connected, businesses and consumers alike are relying more and more on digital data—from documents to video to audio. Behind the scenes, datacenters that manage all of this digital data are a somewhat silent, yet impactful, part of this connectivity revolution. These centers are lined with servers that process digital data for everything from social media status updates to web searches to cloud computing. Each of these servers requires energy to run as well as energy to keep them cool, and the centers are typically filled with additional machines for redundancy. In the US alone, datacenters consume anywhere from 1.5% to 3% of the country’s energy production. How can the chip design industry make datacenters more energy efficient? This paper examines system techniques, including virtualization, as well as design considerations and protocol improvements that can lower the energy utilization of datacenters."

Resources