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Small green circuit board with silver camera module and 200mm ribbon cables

Raspberry Pi

Raspberry Pi SC1174 AI Camera 12.3MP IMX500 development board

SKU CH-03VC-Y4VFS

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.

  • 3 MP Sony IMX500 sensor with integrated neural network accelerator for on-device AI inference
  • Pre-loaded MobileNet model enables immediate machine vision development without training data
  • Dual sensor modes: 4056×3040 at 10 fps or 2028×1520 at 30 fps for flexible capture
  • 76-degree field of view with manually adjustable focus suits diverse vision applications
  • RP2040 co-processor manages neural network firmware and sensor control for efficient operation

Raspberry Pi AI Camera with IMX500 sensor

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.

Thermal performance and power characteristics

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.

Upgrading from standard camera modules

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.

Ciri-ciri utama

  • 3 MP Sony IMX500 sensor with integrated neural network accelerator for on-device AI inference
  • Pre-loaded MobileNet model enables immediate machine vision development without training data
  • Dual sensor modes: 4056×3040 at 10 fps or 2028×1520 at 30 fps for flexible capture
  • 76-degree field of view with manually adjustable focus suits diverse vision applications
  • RP2040 co-processor manages neural network firmware and sensor control for efficient operation

Spesifikasi

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Soalan tentang produk ini

How do I connect the 200 mm cable to the Raspberry Pi and which orientation is correct?

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.

Will the IMX500 sensor or the RP2040 firmware require periodic updates or replacement?

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.

At what frame rate does the 4056×3040 mode run and when does the 10 fps limit become a bottleneck?

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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