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 ...
[Stay on top of transportation news: Get TTNews in your inbox.] When Bison Transport’s director of safety and driver development presented to the driver advisory board the company’s plans to install ...
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'Machine eye': New self-driving car chip can detect danger 4 times faster than humans
A multinational team of researchers has unveiled a new safety system for autonomous machines ...
Researchers from China in collaboration with international institutions have developed a brain inspired hardware system that accelerates machine vision ...
MONROVIA, Calif.--(BUSINESS WIRE)--SiLC Technologies, Inc. (SiLC), a leader in silicon photonics, today announced $25 million in additional funding to bring the total funding proceeds to date, from ...
The machine vision systems market sees opportunities in zero-defect manufacturing, AI-integrated industrial imaging, and vision-guided robotics across sectors like automotive, semiconductor, logistics ...
Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms that allow computer systems to process and interpret images and videos.
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 ...
Similar in complexity to voice recognition, machine vision involves the ability of a computer to see, employing one or more video cameras, analog-to digital conversion (ADC) and digital signal ...
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