OpenMV Cam RT1062 Camera for Machine Vision

The OpenMV Cam RT1062 is a compact, low-power machine vision development board powered by MicroPython and a high-performance ARM Cortex-M7 processor. It is ideal for students, makers, and engineers looking to deploy computer vision and hardware automation without complex C/C++ programming. The system gives you direct control over onboard vision algorithms and I/O pins through accessible Python scripts.

Python-driven machine vision

The board runs the MicroPython operating system, letting you process vision algorithms and manipulate complex data structures using clean Python scripts. You can easily trigger photo and video capture from external events and manage connected hardware through I/O control.

Extensive I/O and pinout features

The board features 14 interrupt-capable 3.3V I/O pins equipped with EMI filtering and TVS protection. Interfaces include high-speed USB-C (480 Mb/s), a 25 MB/s micro-SD socket, SPI up to 60 Mb/s, CAN bus, I2C, UART, 12-bit ADC, and dedicated servo control outputs.

Cortex-M7 processor and memory

Powered by an RT1062 ARM Cortex-M7 CPU running at 600 MHz with a double-precision FPU, the board achieves 1284 DMIPS for demanding edge workloads. It includes 32 MB of external SDRAM running at 160 MHz for 320 MB/s bandwidth, 1 MB SRAM, and 16 MB of quad SPI flash.

Removable 5MP camera sensor

The included OV5640 sensor captures resolutions up to 2592 x 1944 and executes standard vision algorithms at roughly 40 FPS on QVGA resolution. It is fitted with an M12 lens mount with a removable 650 nm IR cut filter and can be swapped for specialised lenses or compatible alternative sensors.

Wireless, Ethernet, and hardware security

Built-in Wi-Fi (802.11a/b/g/n) and Bluetooth 5.1 offer flexible wireless data transfer using an onboard chip antenna or optional U.FL connection. It also provides 10/100 Mb/s Ethernet support and an integrated SE050C1HQ1 secure element for cryptographic authentication.

Power management and onboard sensors

Power the board using a 3.6V to 5V external supply or a standard 3.7V LiPo battery with onboard 100 mA USB charging. An integrated 12-bit triple-axis accelerometer, dual RGB status LEDs, and an ultra-low-power RTC drawing under 30 uA in sleep mode complete the system.

Downloads & documentation

• OpenMV Cam Base Schematic