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Upcoming Webinar Explores Time of Flight Technology, Benefits and Applications

FRAMOS, News, Sensors /

On July 14, 2022 at 7:00 am PT (10:00 am ET, and 4:00 pm CEST), Alliance Member company FRAMOS will deliver the free webinar “Time of Flight (ToF) Technology: Benefits and Applications.” From the event page: Learn about what new opportunities this fast, reliable, and cost-effective technology can bring to those developing 3D imaging systems […]

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STMicroelectronics Reveals FlightSense Multi-zone ToF Sensor for Gesture Recognition, Intruder Alert, and Human Presence Detection In Front of PC

News, Sensors, STMicroelectronics /

Cost-effective non-vision based turnkey solution detects user presence, recognize gestures, and protects against “shoulder surfers” for smoother interactions, enhanced security, and power saving Now being embedded in select Lenovo PCs1 STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, has unveiled its latest FlightSense™ Time-of-Flight (ToF) multi-zone sensor. Delivered

STMicroelectronics Reveals FlightSense Multi-zone ToF Sensor for Gesture Recognition, Intruder Alert, and Human Presence Detection In Front of PC Read More +

“Enable Spatial Understanding for Embedded/Edge Devices with DepthAI,” a Presentation from Luxonis

Algorithms, Luxonis, Processors, Sensors, Software, Summit 2022, Tools, Videos /

Erik Kokalj, Director of Applications Engineering at Luxonis, presents the “Enable Spatial Understanding for Embedded/Edge Devices with DepthAI” tutorial at the May 2022 Embedded Vision Summit. Many systems need to understand not only what objects are nearby, but also where those objects are in the physical world. This is “spatial AI”. In this talk, Kokalj

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BrainChip Partners with Prophesee Optimizing Computer Vision AI Performance and Efficiency

BrainChip, News, Processors, Sensors /

Laguna Hills, Calif. – June 14, 2022 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI IP, and Prophesee, the inventor of the world’s most advanced neuromorphic vision systems, today announced a technology partnership that delivers next-generation platforms for OEMs looking to integrate event-based vision systems

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The LEC-2290: An Edge AI Appliance for Traffic Infraction Prevention

Automotive, Blog Posts, Lanner Electronics, Processors, Sensors /

This blog post was originally published at Lanner Electronics’ website. It is reprinted here with the permission of Lanner Electronics. In dense urban environments where traffic flow is heavy, keeping up with traffic control and maintaining road safety at intersections with the heaviest traffic is often tricky as vehicles and pedestrians’ behaviors are erratic and

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e-con Systems Launches Multi-camera Solution for NVIDIA Jetson AGX Orin Based on Sony STARVIS IMX485

e-con Systems, News, NVIDIA, Processors, Sensors /

NVIDIA Jetson AGX Orin | Sony STARVIS IMX485 | 1/1.2” sensor | Large pixel size | 4K resolution | Multi-camera solution San Jose and Chennai (June 21, 2022) – e-con Systems, a leading embedded OEM camera company and an NVIDIA Elite Partner, today launched the e-CAM82_CUOAGX – a 4K ultra-low-light camera powered by the NVIDIA

e-con Systems Launches Multi-camera Solution for NVIDIA Jetson AGX Orin Based on Sony STARVIS IMX485 Read More +

“Designing the Next Ultra-Low-Power Always-On Solution,” a Presentation from Cadence

Algorithms, Cadence, Processors, Sensors, Software, Summit 2022, Tools, Videos /

Amol Borkar, Director of Product Management and Marketing for Tensilica Vision and AI DSPs at Cadence, presents the “Designing the Next Ultra-Low-Power Always-On Solution” tutorial at the May 2022 Embedded Vision Summit. Increasingly, users expect their systems to be ready to respond at any time—for example, using a voice command to launch a music playlist.

“Designing the Next Ultra-Low-Power Always-On Solution,” a Presentation from Cadence Read More +

e-con Systems’ DepthVista 3D Time-of-Flight Camera Delivers Accurate 3D Depth Imaging

e-con Systems, Sensors, Videos /

This video was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Introducing DepthVista, a 3D Time-of-Flight (ToF) camera designed by e-con Systems for accurate 3D depth imaging to help Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs) with safer navigation. Learn more: https://www.e-consystems.com/3d-depth-cameras/tof-time-of-flight-camera.asp Download documents (PDF):

e-con Systems’ DepthVista 3D Time-of-Flight Camera Delivers Accurate 3D Depth Imaging Read More +

“Jumpstart Your Edge AI Vision Application with New Development Kits from Avnet,” a Presentation from Avnet

Algorithms, Avnet, Processors, Sensors, Software, Summit 2022, Tools, Videos /

Monica Houston, Technical Solutions Manager at Avnet, presents the “Jumpstart Your Edge AI Vision Application with New Development Kits from Avnet” tutorial at the May 2022 Embedded Vision Summit. Choosing the right processing solution for your embedded vision application can make or break your next development effort. This presentation introduces three next-generation embedded vision platforms

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“Introducing the Kria Robotics Starter Kit: Robotics and Machine Vision for Smart Factories,” a Presentation from AMD

Algorithms, AMD, Processors, Sensors, Software, Summit 2022, Tools, Videos /

Chetan Khona, Director of Industrial, Vision, Healthcare and Sciences Markets at AMD, presents the “Introducing the Kria Robotics Starter Kit: Robotics and Machine Vision for Smart Factories” tutorial at the May 2022 Embedded Vision Summit. A robot is a system of systems with diverse sensors and embedded processing nodes focused on core capabilities such as

“Introducing the Kria Robotics Starter Kit: Robotics and Machine Vision for Smart Factories,” a Presentation from AMD Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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