OpenMV Cam RT1062

The OpenMV Cam RT1062 is a small, low power, microcontroller board which allows you to easily implement applications using machine vision in the real-world. You program the OpenMV Cam in high level Python scripts (courtesy of the MicroPython Operating System) instead of C/C++. This makes it easier to deal with the complex outputs of machine vision algorithms and working with high level data structures. But, you still have total control over your OpenMV Cam and its I/O pins in Python. You can easily trigger taking pictures and video on external events or execute machine vision algorithms to figure out how to control your I/O pins.

The RT1062 ARM Cortex M7 processor runs at 600 MHz with 32MBs SDRAM + 1MB of SRAM and 16 MB of program/storage flash. One of the big differences between the H7 Plus is the inclusion of WIFI on the RT1062.

Features:

1. The RT1062 ARM Cortex M7 processor running at 600 MHz with 32MBs SDRAM + 1MB of SRAM and 16 MB of program/storage flash. All I/O pins output 3.3V and are 3.3V tolerant. The processor has the following I/O interfaces:
   • A high-speed USB-C (480Mbs) interface to your computer. Your OpenMV Cam will appear as a Virtual COM Port and a USB Flash Drive when plugged in.
     • 1.5A current limited.
     • With EMI Filtering and TVS protection.
   • A μSD Card socket capable of 25MB/s reads/writes which allows your OpenMV Cam to take pictures and easily pull machine vision assets off of the μSD card.
     • With EMI Filtering and TVS protection.
   • A SPI bus that can run up to 60Mb/s allowing you to easily stream image data off the system to either the LCD Shield or another microcontroller.
   • An I2C Bus (up to 1Mb/s), CAN Bus (up to 1Mb/s), and an Asynchronous Serial Bus (TX/RX, up to 20Mb/s) for interfacing with other microcontrollers and sensors.
   • A 12-bit ADC (3.3V Tolerant).
   • Three I/O pins for servo control.
   • One I/O pin for frame sync/triggering (or servo control).
   • An onboard RTC which keeps running when the system is in low-power mode (the system draws less than 30uA in low-power mode).
     • One I/O pin for low power wakeup.
     • There is also a pin for device power button ON/OFF support.
   • Interrupts on all I/O pins (there are 14 I/O pins on the board).
     • With EMI Filtering and TVS protection.
   • A user controllable/dimmable RGB LED.
   • Another RGB LED for Charging, USB Power, VIN Power indication.
   • 32 MB of external 16-bit SDRAM clocked at 160 MHz for 320 MB/s of bandwidth.
   • 16 MB of program/storage quadspi flash clocked at 133 MHz in 4-bit SDR mode for 66 MB/s of bandwidth (read speed).
   • A 12-bit X/Y/Z accelerometer (2/4/8g) centered underneath the camera module.
   • Onboard WiFi (a/b/g/n – 11/54/65 Mb/s) and Bluetooth (v5.1 – BR/EDR/BLE) module with a chip antenna.
     •  Option to use a U. FL antenna instead.
   • Onboard 10/100 Mb/s Ethernet
     • Ethernet Jack with PoE support via an external shield.
   • Strong Cryptographic Authentication Secure Element support via the SE050C1HQ1.
2. A removable camera module system allowing the OpenMV Cam RT1062 to interface with different sensors:
   • The OpenMV Cam RT1062 comes with a OV5640 image sensor is capable of taking 2592×1944 (5MP) images. Most simple algorithms will run about 40 FPS on QVGA (320×240) resolutions and below. If you want to use more specialized lenses with your image sensor you can easily buy and attach them yourself.
   • For professional machine vision applications, you can buy our Global Shutter Camera Module.
   • For thermal machine vision applications, you can buy our FLIR Lepton Adapter Module.
3. A LiPo battery connector compatible with 3.7V LiPo batteries commonly sold online for hobbyist robotic applications with battery charging support via USB.
   • 100 mA Fast Charge Current
   • With TVS Protection.
4. An ARM 10-pin JTAG Header Compatible with SEGGER J-Link Devices for debugging and programming.
   • With EMI Filtering and TVS protection.
5. External 5V VIN with reverse supply protection.
   • With TVS Protection.

Specifications:

Power Consumption