The Edge AI and Vision Alliance 2025 CES Directory for game-changing computer vision and AI technologies Many Alliance Member companies will be showing off the latest building-block technologies that enable new capabilities for machines that see! CES is huge so we’ve created a handy checklist of these companies and where to find them including how […]
Alliance Members at 2025 CES Read More +
Barry Fitzgerald, local representative for Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Fitzgerald demonstrates a UHD camera reference design based on the company’s APACHE_U ISP in conjunction with an 8 Mpixel image sensor from fellow Alliance Member company Samsung.
Nextchip Demonstration of a UHD Camera Reference Design Based On Its APACHE_U ISP Read More +
Sophie Jeon, Global Strategy Marketing Manager at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Jeon demonstrates her company’s expertise in optimizing ISPs for computer vision by comparing the tuning technologies used for human vision and machine vision applications.
Nextchip Demonstration of Its Vision Professional ISP Optimization for Computer Vision Read More +
Sophie Jeon, Global Strategy Marketing Manager at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Jeon demonstrates her company’s APACHE5 ADAS SoC. APACHE5 is ready for market with an accompanying SDK, and has passed all qualifications for production such as PPAP (the Production Part
Nextchip Demonstration of the APACHE5 ADAS SoC Read More +
Sophie Jeon, Global Strategy Marketing Manager at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Jeon demonstrates her company’s APACHE6 ADAS SoC. With advanced computing power, APACHE6 makes your vehicle smarter, avoiding risk while driving and parking.
Nextchip Demonstration of the APACHE6 ADAS SoC Read More +
Young-Jun Yoo, Executive Vice President at Nextchip, presents the “Image Signal Processing Optimization for Object Detection” tutorial at the May 2024 Embedded Vision Summit. This talk delves into the challenges and optimization strategies in image signal processing (ISP) for enhancing object detection in advanced driver-assistance systems (ADAS). Through real-world examples,… “Image Signal Processing Optimization for
Barry Fitzgerald, local representative for Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the December 2023 Edge AI and Vision Alliance Forum. Specifically, Fitzgerald demonstrates a driver and broader occupant monitoring system (DMS/OMS) running on the company’s Apache5 SoC in conjunction with algorithms from emotion3D. This demonstration leverages a 3Mpixel
Young-Jun Yoo, Vice President of the Automotive Business Unit at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Yoo demonstrates using a RCCG filter array-based image sensor with APACHE_U, Nextchip’s newest image signal processor (ISP). APACHE_U is an 8 Mpixel ISP for ADAS cameras.
Young-Jun Yoo, Vice President of the Automotive Business Unit at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Yoo demonstrates the high dynamic range and sensitivity delivered by APACHE_U, Nextchip’s newest image signal processor (ISP). APACHE_U is an 8 Mpixel ISP for ADAS cameras.
Nextchip Demonstration of High Dynamic Range and Sensitivity On APACHE_U, Its Newest ISP Read More +
Young-Jun Yoo, Vice President of the Automotive Business and Operations Unit at Nextchip, presents the “Optimized Image Processing for Automotive Image Sensors with Novel Color Filter Arrays” tutorial at the May 2023 Embedded Vision Summit. Traditionally, image sensors have been optimized to produce images that look natural to humans. For images consumed by algorithms, what
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