Cognex Corporation has introduced the In-Sight 3900 Vision System, a new embedded AI powered machine vision solution designed ...

Cognex Corp. (NASDAQ:CGNX) is one of the unstoppable AI stocks to buy now. On May 5, Cognex launched the In-Sight 3900, a ...

Deep learning techniques such as convolutional neural networks (CNN) have significantly increased the accuracy—and therefore the adoption rate—of embedded vision for embedded systems. Starting with ...

Machine vision and embedded vision systems both fulfill important roles in industry, especially in process control and automation. The difference between the two lies primarily in image processing ...

Machine vision, a technology that until now has been largely restricted to factory production lines, is poised to enter a whole range of new applications with the development of embedded systems at ...

This week’s roundup of embedded industry news and products below features news from the Embedded Vision Summit in Santa Clara, CA, U.S., plus: Andes Technology, Arasan, Blaize, Cadence Design Systems, ...

Vadzo Imaging explains how OEM camera ISP tuning improves image quality, exposure accuracy, and color performance in embedded ...

The system combines Cognex-developed edge AI, advanced AI, and rule-based vision tools with a high-performance embedded ...

Renesas Electronics Corp. has expanded its RZ/V Series of microprocessors (MPUs) with a new mid-class device for the high-volume vision AI market. The new RZ/V2N MPU, integrating a quad-core Arm ...

Vision Components is presenting its VCSBC EvoCam at Embedded World 2026. For use in smart devices and industrial applications, the camera system runs on a MediaTek Genio 510 processor. Described as an ...

Microchip’s Smart Embedded Vision development platform is a full-featured kit for designing with PolarFire RISC-V SoC FPGAs. The platform enables the design of secure, reliable, and power-efficient ...

Neural networks are now being developed in a variety of technology segments in the embedded market, from mobile to surveillance to the automotive segment. The computational and power requirements to ...