{"product_id":"openmv-global-shutter-camera-module","title":"OpenMV Global Shutter Camera Module","description":"\u003cp data-path-to-node=\"1\"\u003eThe \u003cb data-path-to-node=\"1\" data-index-in-node=\"4\"\u003eGlobal Shutter Camera Module\u003c\/b\u003e enables your \u003cb data-path-to-node=\"1\" data-index-in-node=\"46\"\u003eOpenMV Cam\u003c\/b\u003e to capture \u003cb data-path-to-node=\"1\" data-index-in-node=\"68\"\u003ehigh-quality grayscale images\u003c\/b\u003e without \u003cb data-path-to-node=\"1\" data-index-in-node=\"106\"\u003emotion blur\u003c\/b\u003e.\u003c\/p\u003e\n\u003cp data-path-to-node=\"2\" id=\"p-rc_5f44f8d07857a453-27\"\u003eThe module features the \u003cb data-path-to-node=\"2\" data-index-in-node=\"24\"\u003eMT9V034 Global Shutter Camera Module\u003c\/b\u003e, capable of taking \u003cb data-path-to-node=\"2\" data-index-in-node=\"80\"\u003esnapshot pictures on demand\u003c\/b\u003e and running at \u003cspan class=\"citation-46\"\u003e\u003c\/span\u003e\u003cb data-path-to-node=\"2\" data-index-in-node=\"123\"\u003e\u003cspan class=\"citation-46\"\u003e80 FPS in QVGA mode\u003c\/span\u003e\u003c\/b\u003e\u003cspan class=\"citation-46\"\u003e, \u003c\/span\u003e\u003cb data-path-to-node=\"2\" data-index-in-node=\"144\"\u003e\u003cspan class=\"citation-46\"\u003e200 FPS in QQVGA mode\u003c\/span\u003e\u003c\/b\u003e\u003cspan class=\"citation-46\"\u003e, and \u003c\/span\u003e\u003cb data-path-to-node=\"2\" data-index-in-node=\"171\"\u003e\u003cspan class=\"citation-46\"\u003e400 FPS in QQQVGA mode\u003c\/span\u003e\u003c\/b\u003e\u003cspan class=\"citation-46 citation-end-46\"\u003e.\u003csup class=\"superscript\" data-turn-source-index=\"1\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv class=\"source-inline-chip-container ng-star-inserted\"\u003e\n\u003c!----\u003e\u003c!----\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c\/p\u003e\n\u003cp data-path-to-node=\"3\" id=\"p-rc_5f44f8d07857a453-28\"\u003e\u003cspan class=\"citation-45\"\u003eThe \u003c\/span\u003e\u003cb data-path-to-node=\"3\" data-index-in-node=\"4\"\u003e\u003cspan class=\"citation-45\"\u003eGlobal Shutter Camera Module\u003c\/span\u003e\u003c\/b\u003e\u003cspan class=\"citation-45\"\u003e is the \u003c\/span\u003e\u003cb data-path-to-node=\"3\" data-index-in-node=\"40\"\u003e\u003cspan class=\"citation-45\"\u003eultimate sensor\u003c\/span\u003e\u003c\/b\u003e\u003cspan class=\"citation-45\"\u003e for \u003c\/span\u003e\u003cb data-path-to-node=\"3\" data-index-in-node=\"60\"\u003e\u003cspan class=\"citation-45\"\u003emachine vision enthusiasts\u003c\/span\u003e\u003c\/b\u003e\u003cspan class=\"citation-45\"\u003e who want to use their \u003c\/span\u003e\u003cb data-path-to-node=\"3\" data-index-in-node=\"109\"\u003e\u003cspan class=\"citation-45\"\u003eOpenMV Cam\u003c\/span\u003e\u003c\/b\u003e\u003cspan class=\"citation-45\"\u003e in \u003c\/span\u003e\u003cb data-path-to-node=\"3\" data-index-in-node=\"123\"\u003e\u003cspan class=\"citation-45 citation-end-45\"\u003eprofessional pro\u003csup class=\"superscript\" data-turn-source-index=\"2\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003educts\u003c\/b\u003e.\u003c\/p\u003e\n\u003cp data-path-to-node=\"3\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0803\/9211\/files\/global-shutter.gif?v=1767809976\" alt=\"\"\u003eProgressive Scan (Global Shutter) Versus Rolling Shutter - GraftekImaging\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cdiv class=\"metafield-rich_text_field\"\u003e\n\u003cp\u003eThe global shutter camera is extremely useful for high FPS tracking applications and taking precision snapshots triggered by an external event. When running at a high FPS with low exposure the sensor allows you to capture very fast movement of illuminated objects. When in triggered mode you can easily take snapshots at the exact time an object is within the field of view.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 data-path-to-node=\"13\"\u003eProduct Parameters\u003c\/h2\u003e\n\u003cul data-path-to-node=\"14\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,0,0\"\u003e\u003cb data-path-to-node=\"14,0,0\" data-index-in-node=\"0\"\u003eProcessor:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul data-path-to-node=\"14,0,1\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,0,1,0,0\"\u003eARM® 32-bit Cortex®-M7 CPU with Double Precision FPU.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,0,1,1,0\"\u003eClock speed: 480 MHz (1027 DMIPS).\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,0,1,2,0\"\u003eCore Mark Score: 2400 (comparable to Raspberry Pi 2).\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,1,0\"\u003e\u003cb data-path-to-node=\"14,1,0\" data-index-in-node=\"0\"\u003eRAM Layout (1MB Total):\u003c\/b\u003e\u003c\/p\u003e\n\u003cul data-path-to-node=\"14,1,1\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,1,1,0,0\"\u003e256KB for .DATA\/.BSS\/Heap\/Stack.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,1,1,1,0\"\u003e512KB for Frame Buffer\/Stack.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,1,1,2,0\"\u003e256KB for DMA Buffers.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,2,0\"\u003e\u003cb data-path-to-node=\"14,2,0\" data-index-in-node=\"0\"\u003eFlash Layout (2MB Total):\u003c\/b\u003e\u003c\/p\u003e\n\u003cul data-path-to-node=\"14,2,1\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,2,1,0,0\"\u003e128KB Bootloader \/ 128KB Embedded Flash Drive \/ 1792KB Firmware.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,3,0\"\u003e\u003cb data-path-to-node=\"14,3,0\" data-index-in-node=\"0\"\u003eImage Support:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul data-path-to-node=\"14,3,1\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,3,1,0,0\"\u003e\u003cb data-path-to-node=\"14,3,1,0,0\" data-index-in-node=\"0\"\u003eFormats:\u003c\/b\u003e Grayscale, RGB565, JPEG, and BAYER.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,3,1,1,0\"\u003e\u003cb data-path-to-node=\"14,3,1,1,0\" data-index-in-node=\"0\"\u003eMax Resolution:\u003c\/b\u003e Up to 640x480 for Grayscale and JPEG; up to 320x240 for raw RGB565.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,4,0\"\u003e\u003cb data-path-to-node=\"14,4,0\" data-index-in-node=\"0\"\u003eR2 Lens Specifications:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul data-path-to-node=\"14,4,1\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,4,1,0,0\"\u003eFocal Length: 2.1mm | Aperture: F2.0 | Format: 1\/6\".\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,4,1,1,0\"\u003eField of View: HFOV 60.7°, VFOV 47.5°.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,4,1,2,0\"\u003eMount: M12 * 0.5.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,4,1,3,0\"\u003eFilter: Removable 650nm IR-cut filter.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,5,0\"\u003e\u003cb data-path-to-node=\"14,5,0\" data-index-in-node=\"0\"\u003eElectrical Information:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul data-path-to-node=\"14,5,1\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,5,1,0,0\"\u003eI\/O pins are \u003cb data-path-to-node=\"14,5,1,0,0\" data-index-in-node=\"13\"\u003e5V tolerant\u003c\/b\u003e; output voltage is \u003cb data-path-to-node=\"14,5,1,0,0\" data-index-in-node=\"44\"\u003e3.3V\u003c\/b\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"14,5,1,1,0\"\u003eMaximum current per pin: \u003cb data-path-to-node=\"14,5,1,1,0\" data-index-in-node=\"25\"\u003e25mA\u003c\/b\u003e (source or sink).\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 data-path-to-node=\"0\"\u003eCore Features Summary\u003c\/h2\u003e\n\u003col start=\"1\" data-path-to-node=\"1\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"1,0,0\"\u003e\u003cb data-path-to-node=\"1,0,0\" data-index-in-node=\"0\"\u003eLine Tracking\u003c\/b\u003e Automatically recognizes line continuity, enabling visual line-following for smart robots and vehicles.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"1,1,0\"\u003e\u003cb data-path-to-node=\"1,1,0\" data-index-in-node=\"0\"\u003eColor Tracking\u003c\/b\u003e Capable of detecting up to 16 colors simultaneously, outputting data on the blob's position, size, center, and orientation.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"1,2,0\"\u003e\u003cb data-path-to-node=\"1,2,0\" data-index-in-node=\"0\"\u003eCircle Detection\u003c\/b\u003e Easily detects circular shapes within the image using OpenMV.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"1,3,0\"\u003e\u003cb data-path-to-node=\"1,3,0\" data-index-in-node=\"0\"\u003eRectangle Detection\u003c\/b\u003e Utilizes square detection code from the AprilTag library to identify rectangular shapes.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"1,4,0\"\u003e\u003cb data-path-to-node=\"1,4,0\" data-index-in-node=\"0\"\u003eDigit Recognition\u003c\/b\u003e Identifies numerical digits within the frame and displays the content in the IDE.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"1,5,0\"\u003e\u003cb data-path-to-node=\"1,5,0\" data-index-in-node=\"0\"\u003eQR Code Detection\u003c\/b\u003e Reads and decodes QR codes, allowing intelligent robots to scan and recognize labels in their environment.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"1,6,0\"\u003e\u003cb data-path-to-node=\"1,6,0\" data-index-in-node=\"0\"\u003eObject Recognition\u003c\/b\u003e Supports custom object recognition by capturing photos for learning, after which it can automatically identify specific items.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"1,7,0\"\u003e\u003cb data-path-to-node=\"1,7,0\" data-index-in-node=\"0\"\u003eFace \u0026amp; Eye Tracking\u003c\/b\u003e Detects human faces and eyes, with the ability to determine gaze direction based on pupil movement.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/div\u003e","brand":"OpenMV","offers":[{"title":"Default Title","offer_id":45648094757062,"sku":"OpenMV-Shutter-Cam","price":18.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/MT9V034-module-front-web_1000x_f022511f-f3d0-41e5-b6b0-e0085ce74a83.webp?v=1778748269","url":"https:\/\/openelab.io\/products\/openmv-global-shutter-camera-module","provider":"OpenELAB Technology Ltd.","version":"1.0","type":"link"}