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Raspberry Pi
A 12.3 MP IMX500 vision sensor with on-board neural accelerator, RP2040 firmware control, pre-loaded MobileNet model, 76-degree view, manual focus, 200 mm cables.
This development board adds on-device neural-network acceleration to any Raspberry Pi computer. The 12.3MP Sony IMX500 sensor integrates a low-power inference engine and an RP2040 co-processor for model management. It ships with a pre-loaded MobileNet vision model and 200mm cables for immediate use.
The IMX500 sensor performs inference locally without streaming raw frames to the host, keeping system load and heat low. Two sensor modes, 4056×3040 at 10fps and 2028×1520 at 30fps, let developers trade resolution for frame-rate within the same power envelope. Manual focus adjustment avoids continuous autofocus current draw.
Builders moving up from a basic Raspberry Pi Camera Module gain hardware-accelerated object detection without a separate accelerator board. The 76-degree field of view covers typical robotics and monitoring scenes. Projects needing higher resolution, wider angles, or alternative model frameworks will require a different sensor solution.
No published specifications for this item yet.
Insert the 200 mm cable into the CSI connector on the Raspberry Pi with the exposed contacts facing the board edge, then secure the latch; the same cable fits every current Raspberry Pi computer.
The RP2040 manages firmware for the IMX500; updates are delivered through the Raspberry Pi OS package system when new neural-network models or bug fixes are released, no hardware replacement is needed.
The 4056×3040 mode runs at 10 fps; sustained pipelines that need higher throughput must drop to 2028×1520 at 30 fps or reduce resolution in software.
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