openmv/openmv

OpenMV Camera Module

What it solves

OpenMV provides an accessible, open-source platform for implementing machine vision on microcontrollers. It removes the complexity of setting up vision systems for beginners by combining specialized hardware (cameras) with a Python-based programming environment and a rich library of image processing tools.

How it works

The project consists of a firmware and a companion IDE. The firmware allows users to program cameras in Python3, leveraging a built-in image processing library for tasks like color tracking and QR decoding. For advanced AI, it supports TensorFlow, ST Edge AI, and NPU acceleration (via ARM Ethos-U55 and ST Neural-ART). The system can interface with other microcontrollers (like Arduino or ESP32) using an RPC (Remote Procedure Call) library over UART, I2C, SPI, or CAN bus.

Who it’s for

It is designed for beginners, developers, and engineers building battery-powered AI vision applications or robotics projects that require low-power, real-time image analysis.

Highlights

  • AI Acceleration: Support for TensorFlow and hardware NPUs for high-performance model execution (e.g., running YOLO at 30 FPS on the AE3 model).
  • Comprehensive Vision Library: Built-in tools for image filtering, feature detection, AprilTag recognition, and barcode decoding.
  • Integrated Development Environment: A cross-platform IDE based on Qt Creator for real-time frame buffer viewing and sensor adjustment.
  • Flexible Connectivity: RPC library for seamless integration with other microcontrollers for low-level hardware control.

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