{"product_id":"imx519-16mp-autofocus-synchronised-quad-camera-kit-for-raspberry-pi","title":"IMX519 16MP Autofocus Synchronised Quad-Camera Kit for Raspberry Pi","description":"\u003cp\u003eThis camera kit includes four 16MP cameras, each capable of a maximum resolution of 2328(H) x 1748(V) that can connect to a single \u003ca href=\"\/nl\/collections\/raspberry-pi-store\"\u003eRaspberry Pi\u003c\/a\u003e, providing high-resolution imaging. The cameras can capture simultaneously, making it ideal for projects needing synchronised shots like security systems or advanced monitoring, and it has autofocus\u003cspan\u003e with options for automatic focus, manual adjustments, and continuous AF, making sure that you always get the clearest picture, regardless of the conditions.\u003c\/span\u003e\u003c\/p\u003e \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eNote\u003c\/strong\u003e: \u003ca href=\"\/nl\/products\/raspberry-pi-5\"\u003eRaspberry Pi\u003c\/a\u003e and Tripods are \u003cstrong\u003eNOT\u003c\/strong\u003e included\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003e\u003cspan\u003eSupported Modes\u003c\/span\u003e\u003c\/h3\u003e \u003cul\u003e \u003cli\u003e\u003cspan\u003eSingle Channel (no sync):\u003cbr\u003e4 cameras work consecutively where one camera captures after the other. Full-res for each\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan\u003eDual-Channel (synced):\u003cbr\u003e2 cameras merged into 1 full-res frame, working synchronously. 1\/2 res for each\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan\u003eQuad-Channel (synced):\u003cbr\u003e4 cameras merged into 1 full-res frame, working synchronously. 1\/4 res for each\u003c\/span\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2\u003e\u003cspan\u003eFeatures\u003c\/span\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e\u003cspan\u003eMultiplexing with ultra high res: 4 x 16mp cameras on 1 Pi.\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan\u003eSynchronised: up to 4 cameras capturing at the same time.\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan\u003eAutofocus: AF\/Manual\/Continuous-AF out of the box.\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan\u003eBetter Control: single\/dual\/quad channel modes.\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan\u003eHighly Compatible: libcamera-ready, works well with most Pi models.\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan\u003eFour in One: Combine four cameras into one frame, each camera with a max resolution of 2328 (H) x 1748 (V)\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan\u003eFor NVIDIA Jetson L4t 35.x, Jetpack5.x and above versions, you will need the latest CamArray Kit firmware (no earlier than the 2023.02.03 version) to access it. (otherwise, you can only use them on previous JetPack versions).\u003c\/span\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2\u003e\u003cspan\u003eSpecifications\u003c\/span\u003e\u003c\/h2\u003e \u003ctable width=\"969\" style=\"height: 400px;\"\u003e \u003ctbody\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eSupported Platform\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003eRaspberry Pi and NVIDIA Jetson Nano\/Xavier NX\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eOutput\/CSI-2 Speed\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e1x CSI-2 2-lane Output Port\/1.0 Gbps\/Lane\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eOutput Format\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003eRAW10\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eNumber of effective pixels\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e4656(H) x 3496(V) pixels\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eISP Support\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003eSupported on Raspberry Pi\/ Not Supported on NVIDIA Jetson\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 20px;\"\u003e \u003ctd style=\"height: 20px; width: 226.222px;\"\u003eExternal Trigger\u003c\/td\u003e \u003ctd style=\"height: 20px; width: 733.338px;\"\u003eNot Support\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eAggregate Mode\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e1\/4 Spelling Combine\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eFrame Rate(On Raspberry Pi)\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e4656 x 3496@4.5fps, 3840 x 2160@9fps, 2328 x 1748@15fps, 1920 x 1080@30fps, 1280 x 720@40fps\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eFrame Rate(on NVIDIA Jetson)\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003eL4t 32.x: 4656 x 3496@5fps, 3840 x 2160@10.5fps, 1920 x 1080@30fps, 1280 x 720@60fps\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003e\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003eL4t 35.x: 4656 x 3496@4.5fps, 3840 x 2160@8.5fps, 1920 x 1080@30fps, 1280 x 720@60fps\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eImage Sensor\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003eIMX519\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eActive Array Size\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e4656 x 3496\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eOptical Format\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e1\/2.53”\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eCamera Interface\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e2-lane MIPI CSI-2\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eIR Sensitive\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003eIntegral IR-cut filter, Visible Light Only\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eCamera Board Size\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e24mm x 25mm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eCamarray Hat Size\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e65mm x 55mm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eField of View\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e66°(H) x 49.5°(V)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eFocal Length\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e4.28mm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eFocus Type\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003eAutofocus\u003c\/td\u003e \u003c\/tr\u003e \u003ctr style=\"height: 19px;\"\u003e \u003ctd style=\"height: 19px; width: 226.222px;\"\u003eFocus Distance\u003c\/td\u003e \u003ctd style=\"height: 19px; width: 733.338px;\"\u003e10cm~infinity\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e \u003ch2\u003eResources\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e\u003ca href=\"https:\/\/www.arducam.com\/downloads\/synchronized-quad-camera-kit-getting-started.pdf\"\u003eGetting Started\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e\u003ca href=\"https:\/\/www.arducam.com\/docs\/cameras-for-raspberry-pi\/synchronized-stereo-camera-hat\/opencv-and-depth-map-on-arducam-stereo-camera-hat-tutorial\/\"\u003eDepth Mapping on Arducam Stereo Camera HAT with OpenCV\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e\u003ca href=\"https:\/\/www.arducam.com\/docs\/cameras-for-raspberry-pi\/raspberry-pi-libcamera-guide\/camarray-arducam-imx519-quad-camera-bundle-kit\/\"\u003eCamera Kit User Guide\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e \u003carticle class=\"4ever-article\" data-clipboard-cangjie='[\"root\",{},[\"p\",{\"uuid\":\"ll4q5n913t6unfw8x1t\"},[\"span\",{\"data-type\":\"text\"},[\"span\",{\"color\":\"rgba(0, 0, 0, 0.87)\",\"sz\":11.5,\"szUnit\":\"pt\",\"data-type\":\"leaf\"},\"CamArray HAT Firmware Note on NVIDIA Jetson\"]]]]' data-identifier-application__slash__x-cangjie-fragment=\"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\" data-identifier-application__slash__x-doc-key=\"54Lq3ev4eVJgl7Ed\"\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Nvidia-Jetson-Camera\/Multi-Camera-CamArray\/Camarray-Firmware\/\"\u003e\u003cspan data-type=\"text\"\u003eCamArray HAT Firmware Note on NVIDIA Jetson\u003c\/span\u003e\u003c\/a\u003e\u003c\/article\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003ch2\u003e\u003cspan data-type=\"text\"\u003ePackage Contents\u003c\/span\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e\u003cspan data-type=\"text\"\u003e4x 16MP Camera Module\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan data-type=\"text\"\u003e1x UC-512 Camarray HAT\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan data-type=\"text\"\u003e5x 30cm 15-22pin Camera Cable\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan data-type=\"text\"\u003e1x 30cm 22-22pin Camera Cable\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan data-type=\"text\"\u003e1x 7cm 15-22pin Camera Cable\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan data-type=\"text\"\u003e1x Screw Pack\u003c\/span\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2\u003e\u003cspan data-type=\"text\"\u003eNotes\u003c\/span\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eThe four-channel camera adopts the 2 x 2 synthesis method. The images of cameras 0 and 1 are completely synchronised, the images of cameras 2 and 3 are completely synchronised, and the images of cameras 2\/3 are one frame behind the images of cameras 0\/1.\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eThe resolution of the synthesised image remains unchanged, but the frame rate is halved. This Kit Combines four cameras into one frame, each camera with a resolution of 2328(H) x 1748(V).\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eIf any camera fails, the composite image can still be output, with the corresponding area of the failed camera being black.\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eOfficial Commands and ISP are supported.\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eThe four-channel camera is a customised model, requiring HAT to provide a clock. It cannot be removed and is directly connected to the Raspberry Pi.\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eThe driver of the kit is mainly developed based on the Raspberry Pi\/ Nvidia Jeston official board, and there is no guarantee that the third-party board can be used (Due to the different allocation of hardware resources, it may not be compatible)\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":50847401017617,"sku":"B0388","price":163.9,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0901\/6285\/6209\/files\/imx519-16mp-autofocus-synchronised-quad-camera-kit-for-raspberry-pi-arducam-b0388-42000618291395.jpg?v=1735212621","url":"https:\/\/abcd3032.myshopify.com\/nl\/products\/imx519-16mp-autofocus-synchronised-quad-camera-kit-for-raspberry-pi","provider":"Tayyab Zak","version":"1.0","type":"link"}