Tools

Microchip Adds Second Development Tool Offering for Designers Using Its Low-Power PolarFire RISC-V SoC FPGA for Embedded Vision Applications at the Edge

Platform extends customer options for designing secure and reliable systems in applications ranging from neural network inferencing to Industrial Internet of Things (IIoT) and factory automation CHANDLER, Ariz., Nov. 23, 2021 – Microchip Technology (Nasdaq: MCHP) today announced the second development tool offering in its Smart Embedded Vision initiative for designers using its PolarFire® RISC-V […]

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Synaptics Demonstration of Real-time Video Post-processing Using Machine Learning

Zafer Diab, Director of Product Marketing at Synaptics, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Diab demonstrates real-time video post-processing using machine learning. Enhancements in AI processing capabilities on edge devices are enabling significant enhancements in video scaling and post-processing, compared to what had

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Synaptics Demonstration of Smart Video Conferencing on the Edge

Zafer Diab, Director of Product Marketing at Synaptics, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Diab demonstrates smart video conferencing on the edge in partnership with Pilot.ai. Enhancements in AI processing capabilities on edge devices are enabling a richer video conferencing experience. These capabilities

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AAEON Demonstration of Its Compact Fanless Embedded BOX PC Based on NVIDIA’s Jetson Xavier NX SoC

Iris Huang, Product Sales Manager, and Owen Wei, AI & IOT Product Solution Manager, both of NVIDIA partner AAEON, demonstrate the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Huang and Wei demonstrate AAEON’s BOXER-8251AI AI@Edge compact fan-less embedded BOX PC, based on NVIDIA’s Jetson Xavier NX

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Use Case: Air Conditioner Piston Check

This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. With the growing use of computer vision in Industrial IoT (IIoT) and Industry 4.0 to analyze and detect defects, we were inspired to build an image recognition model that can classify images of AC pistons. Materials used

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Nextchip Demonstration of Its Imaging Signal Processor’s Supported Functions

Jessie Lee, General Manager of Technical Marketing at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Lee demonstrates the functions supported by its imaging signal processor (ISP). In this demonstration, Nextchip showcases its ISP expertise by demonstrating various ISP features for automotive applications. Nextchip’s

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Nextchip Demonstration of Efficient Driver Monitoring for Automotive Cameras

Jessie Lee, General Manager of Technical Marketing at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Lee demonstrates efficient driver monitoring for automotive cameras. In this demonstration, Nextchip, in collaboration with PathPartner Technology, presents a driver monitoring system (DMS) solution based on its ADAS

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Noroc Demonstration of From-behind Collision Detection for Bicycle Riders

Sean Connelly, CEO of Luxonis partner Noroc, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Connelly demonstrates from-behind collision detection for bicycle riders. Connelly shows an example of localizing and estimating the trajectories of vehicles behind you to know if they are on a trajectory

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Luxonis Demonstration of Neural Inference-controlled Crop, Zoom and H.265 Encode

Martin Peterlin, Chief Technology Officer at Luxonis, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Peterlin demonstrates neural inference-controlled crop, zoom and H.265 encode. Peterlin shows how to use a neural network to guide what portion of a high-resolution (12 Mpixel) image sensor is output

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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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Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
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