Computer scientists at the University of California, San Diego, have combined sophisticated computer vision algorithms and a brain-computer interface to find mines in sonar images of the ocean floor.

ANAHEIM, Calif.--(BUSINESS WIRE)--Econolite and Image Sensing Systems, Inc. (NASDAQ: ISNS) today announced the Autoscope ® Vision™ detection solution. Vision provides the highest levels of accuracy ...

MONROVIA, Calif.--(BUSINESS WIRE)--SiLC Technologies, Inc. (SiLC), a leader in the development of integrated single-chip FMCW LiDAR solutions, today announced a significant breakthrough in machine ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

Selecting the right edge device for real-time AI-powered vision is a critical decision that can impact the performance, usability, and versatility of your applications. This comparison between the ...

Developed by the Teehan+Lax Labs team, the Touch Vision Interface is an interesting idea that looks at using a smartphone's camera to manipulate other screens such as LCD monitors, laptops or TVs.

Patient imaging: The EyeArt AI system provides safe and accurate detection of diabetic retinopathy. (Courtesy: Eyenuk) An artificial intelligence (AI) system that can identify diabetic retinopathy (DR ...