A subfield of artificial intelligence (AI), machine vision is advancing quickly and has the capacity to revolutionise many industries worldwide. Since it heavily relies on visual processing, it is no ...

EZ Eye's algorithmic technology reduces manual image grading by 97% while maintaining 96% accuracy for automated quality ...

DETROIT--(BUSINESS WIRE)--Automate 2022 (Booth #2723) – Zebra Technologies Corporation (NASDAQ: ZBRA), an innovator at the front line of business with solutions and partners that deliver a performance ...

Deep learning finds numerous applications in machine vision solutions, particularly in enhancing image analysis and recognition tasks. Algorithmic models can be trained to recognize patterns, shapes ...

LAS VEGAS--(BUSINESS WIRE)--SiLC Technologies, Inc. (SiLC), the leading developer of integrated single-chip FMCW LiDAR solutions, today announced the launch of the Eyeonic™ Vision System Mini (Eyeonic ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Machine vision uses artificial intelligence (AI) to develop ...

What’s driving the expanding landscape for machine vision? The role of low-power connectivity in advancing vision technology. Color and event-triggered image capture. Machine-vision systems have been ...

Machine vision systems are serving increasingly crucial roles in life and business. They enable self-driving cars, make robots more versatile, and unlock new levels of reliability in manufacturing and ...

Deep learning is rapidly becoming an indispensable element in machine vision solutions. Its application is proving to be particularly useful for identifying objects and features in images. Deep ...

Traditional technology companies and startups are racing to combine machine vision with AI/ML, enabling it to “see” far more than just pixel data from sensors, and opening up new opportunities across ...

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 ...