Official Original Raspberry Pi AI Camera 12MP IMX500 Vision Sensor Module with RP2040 Compatible with Raspberry Pi All Boards
Official Original Raspberry Pi AI Camera 12MP IMX500 Vision Sensor Module with RP2040 Compatible with Raspberry Pi All BoardsThe Raspberry Pi AI Camera uses the Sony IMX500 imaging sensor to provide low-latency, high-performance AI capabilities to any camera application. Tight integration with Raspberry Pi’s camera software stack allows users to deploy their own neural network models with minimal effort.
- High-precision sensing output for advanced robotic control
- Dual-voltage logic compatibility supporting 3.3V and 5.0V inputs
- Integrates easily with standard I2C and SPI serial interfaces
- Ultra-compact form factor suitable for miniature space setups
- Factory-calibrated for immediate out-of-the-box prototyping
- Low power consumption ideal for battery-operated smart devices
- Robust electromagnetic interference (EMI) shield shielding
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(855) I-BUY-ROBO (855) 428-9762Official Original Raspberry Pi AI Camera 12MP IMX500 Vision Sensor Module with RP2040 Compatible with Raspberry Pi All Boards
The Raspberry Pi AI Camera uses the Sony IMX500 imaging sensor to provide low-latency, high-performance AI capabilities to any camera application. Tight integration with Raspberry Pi’s camera software stack allows users to deploy their own neural network models with minimal effort.



















Use Cases
Autonomous navigation, self-balancing robots, drone flight stabilization, obstacle avoidance, and IoT tracking applications.
Compatibility Notes
Fully compatible with Arduino, Raspberry Pi, ESP32, STM32, and standard 3.3V/5V microcontroller logic levels.
Frequently Asked Questions
Yes, it communicates over standard I2C/SPI pins and works seamlessly with the Arduino IDE and library frameworks.
It is designed to work safely on both 3.3V and 5V power rails, offering wide logic-level compatibility.
The module comes pre-calibrated from the factory, but you can implement software calibration offsets in your code for higher precision in custom environments.
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