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A 12.3 MP Sony IMX500 vision sensor with integrated RP2040 inference engine, pre-loaded MobileNet model, 76-degree field of view, manual focus and 200mm cables for Raspberry Pi
The MCDODO AI Camera is a development board built around the Sony IMX500 Intelligent Vision Sensor. It integrates a low-power inference engine and an RP2040 microcontroller for neural network and firmware management. A MobileNet machine vision model comes pre-loaded for immediate object detection tasks. The board targets makers and engineers building compact IoT vision applications.
The IMX500 runs its neural accelerator continuously without a separate GPU, keeping power draw low during long deployments. At 4056×3040 resolution the sensor delivers 10 frames per second, while 2028×1520 runs at 30 frames per second. The RP2040 handles firmware duties so the vision pipeline remains stable over extended periods. This architecture suits always-on monitoring rather than burst capture.
This board replaces standard Raspberry Pi camera modules that rely on the host CPU for inference. The jump is worth it when your project needs real-time object detection without streaming video to a cloud or heavy host. Builders who need higher resolution than 12.3 megapixels or a wider field of view than 76 degrees should look elsewhere. The 200mm cables fit all Raspberry Pi computers for direct connection.
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| Product type | Single Board Computers |
The IMX500 includes an integrated low-power inference engine designed to run neural-network workloads efficiently without a separate accelerator.
The 200 mm cables are supplied to connect the camera to all Raspberry Pi computers with a standard CSI connector.
The camera connects via the standard CSI interface on a Pi 3B+, but the on-board RP2040 handles neural-network firmware locally.
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