{"product_id":"b0388-arducam-16mp-imx519-autofocus-quad-camera","title":"B0388 Arducam 16MP IMX519 Autofocus Synchronized Quad-Camera Kit for Raspberry Pi, Jetson","description":"\u003ch2\u003eB0388 Arducam 16MP IMX519 Autofocus Synchronized Quad-Camera Kit for Raspberry Pi, Jetson\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eMultiplexing with ultra high res: 4 x 16mp cameras on 1 Pi.\u003c\/li\u003e\n\u003cli\u003eSynchronized: up to 4 cameras capturing at the same time.\u003c\/li\u003e\n\u003cli\u003eAutofocus: AF\/Manual\/Continuous-AF out of the box.\u003c\/li\u003e\n\u003cli\u003eBetter Control: single\/dual\/quad channel modes.\u003c\/li\u003e\n\u003cli\u003eHighly Compatible: libcamera-ready, works well with most Pi models.\u003c\/li\u003e\n\u003cli\u003eFour in One: Combine four cameras into one frame, each camera with a max resolution of 2328(H)x1748(V)\u003c\/li\u003e\n\u003cli\u003eFor NVIDIA JetsonL4t 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\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"a-spacing-base\"\u003eThis Arducam quadrascopic camera bundle incorporates four 16MP IMX519 autofocus cameras, and the cutting-edge MIPI stereo camera breakthrough from Arducam – The Arducam Camarray HAT.\u003c\/p\u003e\n\u003cp class=\"a-spacing-base\"\u003eAs the upgraded version of Arducam Synched Stereo Camera HAT, the Camarray further pushes the multi-camera limits and doubles the interfacing capabilities to allow 4 synchronized MIPI camera modules to be interfaced to a single MIPI CSI-2 slot on prevailing single-board computers like Raspberry Pi, NVIDIA.\u003c\/p\u003e\n\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003cdiv data-cel-widget=\"aplus\" data-csa-c-id=\"iz0mwn-h1fane-5corf8-whjxvt\" class=\"aplus-v2 desktop celwidget\"\u003e\n\u003cdiv data-cel-widget=\"aplus-3p-module-b\" data-csa-c-id=\"77qu7c-8p18ba-8qb67o-4q2ajh\" class=\"celwidget aplus-module 3p-module-b aplus-standard\"\u003e\n\u003cdiv class=\"aplus-module-wrapper aplus-3p-fixed-width\"\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e \u003ccol\u003e \u003ccol\u003e \u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003eSupported Platform\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003eRaspberry Pi and NVIDIA Jetson AGX Orin\/Orin Nano\/Orin NX\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eOutput\/CSI-2 Speed\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003ex1 CSI-2 2-lane Output Port\/1.0 Gbps\/Lane\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOutput Format\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eRAW10\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eNumber of effective pixels\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e4656(H) × 3496(V) pixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eISP Support\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eNot Support on NVIDIA Jetson\/ Supported on Raspberry Pi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eExternal Trigger\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eNot Support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eAggregate mode\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1\/4 Spelling Combine\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFrame Rate(On Raspberry Pi)\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e4656×3496@4.5fps, 3840×2160@9fps, 2328×1748@15fps, 1920×1080@30fps, 1280×720@40fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eFrame Rate (on NVIDIA Jetson)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eL4t 32.x: 4656x3496@5fps,\u003cspan\u003e \u003c\/span\u003e3840x2160@10.5fps, 1920x1080@30fps, 1280x720@60fps\u003cbr\u003eL4t 35.x:\u003cspan\u003e \u003c\/span\u003e4656x3496@4.5fps,\u003cspan\u003e \u003c\/span\u003e3840x2160@8.5fps, 1920x1080@30fps, 1280x720@60fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eImage Sensor\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIMX519\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eActive Array Size\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e4656 × 3496\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eOptical Format\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1\/2.53''\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eCamera Interface\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e2-lane MIPI CSI-2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIR Sensitive\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIntegral IR-cut filter, Visible Light Only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eCamera Board Size\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e24mm x 25mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCamarray Hat Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e65mm x 55mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eField of View\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e66°(H)x49.5°(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFocal Length\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e4.28mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eFocus Type\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eAutofocus\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocus Distance\u003c\/td\u003e\n\u003ctd\u003e10cm~infinity\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003chr\u003e\n\u003cbr\u003e\n\u003ch2\u003eNote\u003c\/h2\u003e\n\u003cdiv class=\"su-note-inner su-u-clearfix su-u-trim\"\u003e\n\u003cp\u003e1. The four-channel camera adopts the 2×2 synthesis method. The images of cameras 0 and 1 are completely synchronized, the images of cameras 2 and 3 are completely synchronized, and the images of cameras 2\/3 are one frame behind the images of cameras 0\/1.\u003c\/p\u003e\n\u003cp\u003e2. The resolution of the synthesized 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)x1748(V).\u003c\/p\u003e\n\u003cp\u003e3. If any camera fails, the composite image can still be output, with the corresponding area of the failed camera being black.\u003c\/p\u003e\n\u003cp\u003e4. Official Commands and ISP are supported on Raspberry Pi Platfomrs.\u003c\/p\u003e\n\u003cp\u003e5. The four-channel camera is a customized model, requiring HAT to provide a clock. It cannot be removed and is directly connected to the Raspberry Pi.\u003c\/p\u003e\n\u003cp\u003e6. The 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\n\u003carticle data-identifier-application__slash__x-doc-key=\"a2QnV4jZKwJzyO4X\" data-identifier-application__slash__x-cangjie-fragment=\"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\" data-clipboard-cangjie='[\"root\",{},[\"p\",{\"ind\":{\"left\":0},\"uuid\":\"mfqhkfxt7zg4bl2kyxr\"},[\"span\",{\"data-type\":\"text\"},[\"span\",{\"data-type\":\"leaf\"},\"Due to the hardware limitations of the NVIDIA Jetson platform, this product does not support ISP functionality on NVIDIA Jetson. If a pre-tuned ISP solution is required, please refer to \"]],[\"a\",{\"href\":\"https:\/\/www.arducam.com\/embedded-camera-module\/nvidia-jetson-nano-camera-arducam\/mipi-xisp-camera.html\",\"uuid\":\"mfqhkmak83ubxvvvnrc\"},[\"span\",{\"data-type\":\"text\"},[\"span\",{\"data-type\":\"leaf\"},\"Arducam xISP series\"]]],[\"span\",{\"data-type\":\"text\"},[\"span\",{\"data-type\":\"leaf\"},\" or \"]],[\"a\",{\"href\":\"https:\/\/www.arducam.com\/robotics-vision-camera.html\",\"uuid\":\"mfqhkmakllgf3gxetq\"},[\"span\",{\"data-type\":\"text\"},[\"span\",{\"data-type\":\"leaf\"},\"Arducam TrueSight Series\"]]],[\"span\",{\"data-type\":\"text\"},[\"span\",{\"data-type\":\"leaf\"},\".\"]]]]' class=\"4ever-article\"\u003e\n\u003cp\u003e\u003cspan data-type=\"text\"\u003e7. Due to the hardware limitations of the NVIDIA Jetson platform, this product does not support ISP functionality on NVIDIA Jetson. If a pre-tuned ISP solution is required, please refer to\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003ca data-link-href-cangjie=\"https:\/\/www.arducam.com\/embedded-camera-module\/nvidia-jetson-nano-camera-arducam\/mipi-xisp-camera.html\" rel=\"noopener noreferrer\" href=\"https:\/\/www.arducam.com\/embedded-camera-module\/nvidia-jetson-nano-camera-arducam\/mipi-xisp-camera.html\" target=\"_blank\"\u003e\u003cspan data-type=\"text\"\u003eArducam xISP series\u003c\/span\u003e\u003c\/a\u003e\u003cspan data-type=\"text\"\u003e\u003cspan\u003e \u003c\/span\u003eor\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003ca data-link-href-cangjie=\"https:\/\/www.arducam.com\/robotics-vision-camera.html\" rel=\"noopener noreferrer\" href=\"https:\/\/www.arducam.com\/robotics-vision-camera.html\" target=\"_blank\"\u003e\u003cspan data-type=\"text\"\u003eArducam TrueSight Series\u003c\/span\u003e\u003c\/a\u003e\u003cspan data-type=\"text\"\u003e.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-type=\"text\"\u003e8. For connection on the NVIDIA Jetson AGX Orin platform, you will need an additional MIPI adapter board. \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/article\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"widget block block-static-block\"\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e \u003ccol\u003e \u003ccol\u003e \u003ccol\u003e \u003ccol\u003e \u003ccol\u003e \u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth colspan=\"5\" class=\"tg-kpnx\"\u003eNote on Supported Raspberry Pi Boards and OS\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-qbk9\"\u003ePlatform\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eTrixie(rpicam)\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eBookworm(rpicam)\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eBullseye(libcamera)\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eBuster(raspistill)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-fsme\"\u003eRaspberry Pi 5\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e \u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-fsme\"\u003eRaspberry Pi 4B \/ 3B+ \/ 3A+\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-fsme\"\u003eRaspberry Pi CM3 \/ CM3+ \/ CM4 \/ CM5\u003cbr\u003e(extra carrier board required)\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-cel-widget=\"aplus-module-9\" data-csa-c-id=\"4tlfeo-m2225f-hpl6tf-mutrcs\" class=\"celwidget aplus-module module-9 aplus-standard\"\u003e\n\u003cdiv data-a-expander-collapsed-height=\"700\" data-a-expander-name=\"aplus-module-expander\" class=\"a-expander-collapsed-height a-row a-expander-container a-expander-partial-collapse-container\"\u003e\n\u003cdiv aria-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\"\u003e\n\u003cdiv class=\"aplus-module-wrapper apm-fixed-width\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch3\u003ePacking Including\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-cel-widget=\"aplus-module-16-tech-specs\" data-csa-c-id=\"rme5kj-inmt0w-9ucy6f-jht4ct\" class=\"celwidget aplus-module module-16-tech-specs aplus-standard\"\u003e\n\u003cdiv class=\"a-section a-spacing-large aplus-module-wrapper apm-fixed-width aplus-index-4\"\u003e\n\u003cdiv class=\"a-row\"\u003e\n\u003cdiv class=\"a-column a-span6 a-span-last\"\u003e\n\u003cul\u003e\n\u003cli\u003e4 ×IMX519 Camera Module\u003c\/li\u003e\n\u003cli\u003e1 ×UC-512 Camarray HAT\u003c\/li\u003e\n\u003cli\u003e1 ×30cm 15-22pin Camera Cable\u003c\/li\u003e\n\u003cli\u003e5 ×30cm 22-22pin Camera Cable\u003c\/li\u003e\n\u003cli\u003e1 ×7cm 15-22pin Camera Cable\u003c\/li\u003e\n\u003cli\u003e1 ×8cm 22-22pin Camera Cable\u003c\/li\u003e\n\u003cli\u003e1 ×Screw Pack\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eDocumentation\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli style=\"color: rgb(255, 42, 0);\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003ca href=\"https:\/\/www.arducam.com\/downloads\/synchronized-quad-camera-kit-getting-started.pdf\" style=\"color: rgb(255, 42, 0);\"\u003eUser Guide\u003c\/a\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli style=\"color: rgb(255, 42, 0);\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003ca href=\"https:\/\/www.arducam.com\/docs\/cameras-for-raspberry-pi\/raspberry-pi-libcamera-guide\/camarray-arducam-imx519-quad-camera-bundle-kit\/\" style=\"color: rgb(255, 42, 0);\"\u003eCamarray – Arducam 16MP IMX519 Quad-Camera Bundle Kit\u003c\/a\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli style=\"color: rgb(255, 42, 0);\"\u003e\n\u003carticle data-identifier-application__slash__x-doc-key=\"54Lq3ev4eVJgl7Ed\" data-identifier-application__slash__x-cangjie-fragment=\"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\" 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\"]]]]' class=\"4ever-article\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Nvidia-Jetson-Camera\/Multi-Camera-CamArray\/Camarray-Firmware\/\" style=\"color: rgb(255, 42, 0);\"\u003eCamArray HAT Firmware Note on NVIDIA Jetson\u003c\/a\u003e\u003c\/span\u003e\u003c\/article\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Arducam","offers":[{"title":"Default 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