About this item High-Speed Processor: Features a 600 MHz ARM Cortex-M7 with 32MB SDRAM and 16MB flash for fast, reliable machine vision applications, running up to 40 FPS at QVGA resolutions. Versatile Connectivity: Includes USB-C, WiFi (802.11 a/b/g/n), Bluetooth v5.1, and Ethernet with PoE, offering seamless communication for diverse projects. Customizable Camera Module: Comes with a 5MP OV5640 sensor and M12 lens mount, supporting 2592×1944 resolution and optional modules for global shutter or thermal imaging. Advanced I/O and Low Power: 14 I/O pins with SPI, I2C, UART, ADC, and deep sleep mode consuming only 30µA for efficient, power-sensitive operations. Feature-Packed Design: Includes a secure cryptographic element, accelerometer, LiPo battery charging, RGB LEDs, and professional module support for advanced use cases. Product Description The OpenMV Cam features: 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 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 easilypull 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-bitSDR mode for 66MB/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 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. 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. 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. Applications 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. 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. 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. Linear Barcode Decoding The OpenMV Cam H7 Plus 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. 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 H7 Plus can also detect and decode data matrix 2D barcodes too. You can see our video on this feature 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. Circle Detection You can use the OpenMV Cam H7 Plus to easily detect circles in the image. See for yourself in this video. Rectangle Detection The OpenMV Cam H7 Plus can also detect rectangles using our AprilTag library’s quad detector code. Checkout the video 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. AprilTag Tracking Even better than QR Codes above, the OpenMV Cam H7 Plus 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. Pinout 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. 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. 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. 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 OpenMV SingTown Official Store Genuine Industrial AI Camera 5MP High Definition Image Detection Machine Learning WiFi Ethernet Dimensions Length: 45 mm Width: 36 mm Height: 29 mm Weight: 20 g Standard delivery parts list (1) 0penMV RT1062 with 0V5640 Sensor Module(5MP) *1 (2) USB-TypeC Cable *1 (3) Proto Shield *1 (4) Pan-Tilt PCB Board *1 (5) 1 x 8-Pin Headers *2 (Already welded to BaseBoard) (6) Right Angle Fixing Plate *2 (7) Supporting Screws & Gaskets *4 Specifications 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 (33MB Total) 32KB Stack ~~~~~ 480KB .DATA/.BSS/Heap/DMA ~~~~~ 32MB Frame Buffer/Stack ~~~~~ 512KB SDRAM Cache Flash Layout (16MB Total) 256KB Bootloader ~~~~~ 3.768MB Firmware ~~~~~ 4MB Embedded Flash Drive ~~~~~ 8MB Reserved Supported Image Formats Grayscale ~~~~~ RGB565 ~~~~~ JPEG (and BAYER/YUV422) Maximum Supported Resolutions Grayscale: 2952×1944 (5MP) and under ~~~~~ RGB565: 2952×1944 (5MP) and under ~~~~~ Grayscale JPEG: 2952×1944 (5MP) and under ~~~~~ RGB565 JPEG: 2952×1944 (5MP) and under Lens Info Focal Length: 2.8mm ~~~~~ Aperture: F2.0 ~~~~~ Format: 1/3″ ~~~~~ HFOV = 70.8°, VFOV = 55.6° ~~~~~ Mount: M12*0.5 ~~~~~ IR Cut Filter: 650nm (removable) 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. Power Consumption Idle: 100mA @ 5V ~~~~~ Active: 130mA @ 5V Temperature Range Storage Temperature: -25°C to 85°C ~~~~~ Operating Temperature: 0°C to 70°C Product information Technical Details Collapse all Summary RAM LPDDR3 Wireless Type Bluetooth Other Technical Details Brand OpenMV Series OpenMV RT1062 Item model number RT1062 Item Weight 4.2 ounces Product Dimensions 1.77 x 1.38 x 1.18 inches Item Dimensions LxWxH 1.77 x 1.38 x 1.18 inches Processor Brand ARM Number of Processors 1 Power Source USB Manufacturer Guangzhou Singtown Information Technology ASIN B0CWP7LT57 Country of Origin China Date First Available February 28, 2024 Additional Information Customer Reviews 3.0 3.0 out of 5 stars 2 ratings 3.0 out of 5 stars Best Sellers Rank #6,349 in Single Board Computers (Computers & Accessories) Warranty & Support Amazon.com Return Policy:You may return any new computer purchased from Amazon.com that is “dead on arrival,” arrives in damaged condition, or is still in unopened boxes, for a full refund within 30 days of purchase. Amazon.com reserves the right to test “dead on arrival” returns and impose a customer fee equal to 15 percent of the product sales price if the customer misrepresents the condition of the product. Any returned computer that is damaged through customer misuse, is missing parts, or is in unsellable condition due to customer tampering will result in the customer being charged a higher restocking fee based on the condition of the product. Amazon.com will not accept returns of any desktop or notebook computer more than 30 days after you receive the shipment. New, used, and refurbished products purchased from Marketplace vendors are subject to the returns policy of the individual vendor. Product Warranty: For warranty information about this product, please click here Feedback Would you like to tell us about a lower price?
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