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OpenMV Cam RT1062

$130.00 USD
OpenMV Cam RT1062

OpenMV Cam RT1062

$130.00 USD

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Thanks for checking out the next generation OpenMV Cam - the OpenMV Cam RT1062 powered by NXP's IMXRT! This is our most feature packed OpenMV Cam!

We are doing an initial production run of 2500 units with plans for more production runs afterwards. The OpenMV Cam RT1062 is a brand-new OpenMV Cam with more functionality than ever before. Best of all, it's designed using IN STOCK parts.

Pre-order your OpenMV Cam RT1062 now! We have approved the mass production of the OpenMV Cam RT1062 and expect start shipping in mid November.

The OpenMV Cam 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 OpenMV Cam features:

  • 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.
  • 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 2592x1944 (5MP) images. Most simple algorithms will run about 40 FPS on QVGA (320x240) 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.
  • 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.
  • An ARM 10-pin JTAG Header Compatible with SEGGER J-Link Devices for debugging and programming.
    • With EMI Filtering and TVS protection.
  • External 5V VIN with reverse supply protection.
    • With TVS Protection.

For more information about the OpenMV Cam please see our documentation.

Interface Library

The OpenMV Cam comes built-in with an RPC (Remote Python/Procedure Call) library which makes it easy to connect the OpenMV Cam to your computer, a SBC (single board computer) like the RaspberryPi or Beaglebone, or a microcontroller like the Arduino or ESP8266/32. The RPC Interface Library works over:

  • Async Serial (UART) - at up 20 Mb/s.
  • I2C Bus - at up to 1 Mb/s.
  • SPI Bus - at up to 60 Mb/s.
  • CAN Bus - at up to 1 Mb/s.
  • USB Virtual COM Port (VCP) - at up to 480 Mb/s.
  • WiFi/Ethernet - at up to 65/100 Mb/s.

With the RPC Library you can easily get image processing results, stream RAW or JPG image data, or have the OpenMV Cam control another Microcontroller for lower-level hardware control like driving motors.

OpenMV provides the following libraries for interfacing your OpenMV Cam to other systems below:


    The OpenMV Cam can be used for the following things currently (more in the future):

    • TensorFlow Lite for Microcontrollers Support
      • TensorFlow Lite support lets you run custom image classification and segmentation models on board your OpenMV Cam. With TensorFlow Lite support you can easily classify complex regions of interest in view and control I/O pins based on what you see. See the TensorFlow module for more information.
      • The OpenMV Cam features Edge Impulse integration for easy training of TensorFlow Lite Models in the cloud. Using OpenMV IDE and Edge Impulse you can easily train a Model in 15 minutes! Here's a video showing how it works.
    • Frame Differencing
      • You can use Frame Differencing on your OpenMV Cam to detect motion in a scene by looking at what's changed. Frame Differencing allows you to use your OpenMV Cam for security applications. Checkout the video of the feature here.
    • Color Tracking
      • You can use your OpenMV Cam to detect up to 16 colors at a time in an image (realistically you'd never want to find more than 4) and each color can have any number of distinct blobs. Your OpenMV Cam will then tell you the position, size, centroid, and orientation of each blob. Using color tracking your OpenMV Cam can be programmed to do things like tracking the sun, line following, target tracking, and much, much, more. Video demo here.
    • Marker Tracking
      • You can use your OpenMV Cam to detect groups of colors instead of independent colors. This allows you to create color makers (2 or more color tags) which can be put on objects allowing your OpenMV Cam to understand what the tagged objects are. Video demo here.
    • Face Detection
      • You can detect Faces with your OpenMV Cam (or any generic object). Your OpenMV Cam can process Haar Cascades to do generic object detection and comes with a built-in Frontal Face Cascade and Eye Haar Cascade to detect faces and eyes. Video demo here.
      • Eye Tracking
        • You can use Eye Tracking with your OpenMV Cam to detect someone's gaze. You can then, for example, use that to control a robot. Eye Tracking detects where the pupil is looking versus detecting if there's an eye in the image.
      • Person Detection
        • You can detect if there's a person in the field of view using our built-in person detector TensorFlow Lite model. Video demo here.
      • Optical Flow
        • You can use Optical Flow to detect translation of what your OpenMV Cam is looking at. For example, you can use Optical Flow on a quad-copter to determine how stable it is in the air. See the video of the feature here.
      • QR Code Detection/Decoding
        • You can use the OpenMV Cam to read QR Codes in it's field of view. With QR Code Detection/Decoding you can make smart robots which can read labels in the environment. You can see our video on this feature here.
      • Data Matrix Detection/Decoding
        • The OpenMV Cam can also detect and decode data matrix 2D barcodes too. You can see our video on this feature here.
      • Linear Barcode Decoding
        • The OpenMV Cam can also decode 1D linear bar codes. In particular, it can decode EAN2, EAN5, EAN8, UPCE, ISBN10, UPCA, EAN13, ISBN13, I25, DATABAR, DARABAR_EXP, CODABAR, CODE39, CODE93, and CODE128 barcodes. You can see our video on this feature here.
      • AprilTag Tracking
        • Even better than QR Codes above, the OpenMV Cam can also track AprilTags. AprilTags are rotation, scale, shear, and lighting invariant state-of-the-art fidicual markers. We have a video on this feature here.
      • Line Detection
        • Infinite line detection can be done speedily on your OpenMV Cam at near max FPS. And, you can also find non-infinite length line segments too. You can see our video of this feature here. Additionally, we support running linear regressions on the image for use in line following applications like this DIY Robocar.
      • Circle Detection
        • You can use the OpenMV Cam to easily detect circles in the image. See for yourself in this video.
      • Rectangle Detection
        • The OpenMV Cam can also detect rectangles using our AprilTag library's quad detector code. Checkout the video here.
      • Template Matching
        • You can use template matching with your OpenMV Cam to detect when a translated pre-saved image is in view. For example, template matching can be used to find fiducials on a PCB or read known digits on a display.
      • Image Capture
        • You can use the OpenMV Cam to capture Grayscale/RGB565 BMP/JPG/PPM/PGM images. You directly control how images are captured in your Python script. Best of all, you can preform machine vision functions and/or draw on frames before saving them.
      • Video Recording
        • You can use the OpenMV Cam to record up to Grayscale/RGB565 MJPEG video or GIF images (or RAW video). You directly control how each frame of video is recorded in your Python script and have total control on how video recording starts and finishes. And, like capturing images, you can preform machine vision functions and/or draw on video frames before saving them.

          Finally, all the above features can be mixed and matched in your own custom application along with I/O pin control to talk to the real world.


          OpenMV Cam RT1062 Pinout

          Schematic & Datasheets



              Processor ARM® 32-bit Cortex®-M7 CPU
              w/ Double Precision FPU
              600 MHz (1284 DMIPS)
              Core Mark Score: 3020
              (compare w/ Raspberry Pi 3: 3800)
              RAM Layout


              Flash Layout TBD Bootloader
              4MB Embedded Flash Drive
              TBD Firmware
              Supported Image Formats Grayscale
              JPEG (and BAYER/YUV422)
              Maximum Supported Resolutions

              Grayscale: 2952x1944 (5MP) and under
              RGB565: 2952x1944 (5MP) and under
              Grayscale JPEG: 2952x1944 (5MP) and under
              RGB565 JPEG: 2952x1944 (5MP) and under

              Lens Info TBD
              Electrical Info All pins are 3.3V tolerant with 3.3V output. All pins can sink or source up to 4mA. VIN may be between 3.6V and 5V. Do not draw more than 250mA from your OpenMV Cam's 3.3V rail.
              Weight 20g
              Length 45mm
              Width 36mm
              Height 29mm

              Power Consumption

              Idle - No μSD Card 100mA @ 5V
              Idle - μSD Card TBD
              Active - No μSD Card 130mA @ 5V
              Active - μSD Card TBD

              Temperature Range

              Storage -25°C to 85°C
              Operating 0°C to 70°C

              Shipping Information

              Country of Origin China
              HS Code 854290