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Higher resolution, higher bandwidth image sensors are driving the industrial machine vision market
Higher resolution, higher bandwidth image sensors are driving the industrial machine vision market
25-03-27
In modern automotive parts production, machine vision technology plays a key supporting role, covering almost every link from raw material inspection to finished product assembly. For tire manufacturing, machine vision systems can meticulously inspect the completeness of tire tread patterns, timely discover signs of damage on the tire sidewalls, and ensure the quality of tires before leaving the factory; at the same time, for complex car body stamping parts, machine vision can accurately monitor welding areas during real-time production, effectively identifying potential cracks, weld spatter, and weld seam uniformity issues, thus preventing safety hazards in advance.
In addition, machine vision is also applied to the identification and precise positioning assembly of automotive components, ensuring the correct matching and efficient assembly of parts. In the new energy vehicle industry, the detection of coating surface defects of lithium-ion battery separators is also accomplished by machine vision, ensuring the quality and stability of core battery components. Tiny flaws on the surface of seat belts and the tightness of the seams in airbag fabrics can also be rigorously inspected by machine vision to ensure the reliability of the vehicle's passive safety systems.
Onsemi and NVIDIA are collaborating to integrate Hyperlux sensors into the NVIDIA DRIVE platform, enhancing the machine vision performance of autonomous vehicles
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