{"id":51845,"date":"2026-08-20T10:03:39","date_gmt":"2026-08-20T16:03:39","guid":{"rendered":"https:\/\/www.realsenseai.com\/vision-ai\/"},"modified":"2026-08-20T10:03:39","modified_gmt":"2026-08-20T16:03:39","slug":"vision-ai","status":"publish","type":"page","link":"https:\/\/www.realsenseai.com\/cn\/vision-ai\/","title":{"rendered":"Vision AI"},"content":{"rendered":"\n
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System Architecture<\/a><\/h2>\n\n\n\n

Depth sensing, AI acceleration, and software work as one system, not stacked components bolted together. Every RealSense camera is built end to end, from custom silicon to the SDK that runs on it, so performance holds up in the field, not just in a spec sheet.<\/p>\n\n\n\n

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Learn more<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n
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Silicon<\/h2>\n\n\n\n

Custom Vision Processors handle the heavy lifting on-camera. A depth engine, image signal processor, DSP, and dedicated AI accelerators run alongside a quad-core ARM processor, so depth and perception processing happen at the edge, without leaning on host compute.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Software<\/h2>\n\n\n\n

Perception Studio extends the RealSense SDK with the tools developers actually need. New capabilities ship through software updates, so a camera deployed today keeps gaining functionality without a hardware swap.<\/p>\n<\/div>\n\n\n\n

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System<\/h2>\n\n\n\n

Silicon and software are built together, not integrated after the fact. That means lower latency, a smaller footprint, and a perception platform that scales from a single depth camera to a full robotic deployment.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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