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IMX519 16MP Autofocus Synchronised Quad-Camera Kit for Raspberry Pi

The Pi Hut

IMX519 16MP Autofocus Synchronised Quad-Camera Kit for Raspberry Pi RSS 204.00 204.00 GBP1055.09 PLN
  • Sklep zagraniczny
Kod:
B0388
Producent:
ArduCam
Waluta:
funt szterling
Dodany do bazy:
Ostatnio widziany:
Zmiana ceny:
+24% (06.08.2025)
Poprzednia cena:
163.90 GBP

This camera kit includes four 16MP cameras, each capable of a maximum resolution of 2328(H) x 1748(V) that can connect to a single Raspberry Pi, 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 with options for automatic focus, manual adjustments, and continuous AF, making sure that you always get the clearest picture, regardless of the conditions. Note: Raspberry Pi and Tripods are NOT included Supported Modes

* Single Channel (no sync): 4 cameras work consecutively where one camera captures after the other. Full-res for each * Dual-Channel (synced): 2 cameras merged into 1 full-res frame, working synchronously. 1/2 res for each * Quad-Channel (synced): 4 cameras merged into 1 full-res frame, working synchronously. 1/4 res for each Features

* Multiplexing with ultra high res: 4 x 16mp cameras on 1 Pi. * Synchronised: up to 4 cameras capturing at the same time. * Autofocus: AF/Manual/Continuous-AF out of the box. * Better Control: single/dual/quad channel modes. * Highly Compatible: libcamera-ready, works well with most Pi models. * Four in One: Combine four cameras into one frame, each camera with a max resolution of 2328 (H) x 1748 (V) * For 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). Specifications Supported Platform Raspberry Pi and NVIDIA Jetson Nano/Xavier NX Output/CSI-2 Speed 1x CSI-2 2-lane Output Port/1.0 Gbps/Lane Output Format RAW10 Number of effective pixels 4656(H) x 3496(V) pixels ISP Support Supported on Raspberry Pi/ Not Supported on NVIDIA Jetson External Trigger Not Support Aggregate Mode 1/4 Spelling Combine Frame Rate(On Raspberry Pi) 4656 x 3496@4.5fps, 3840 x 2160@9fps, 2328 x 1748@15fps, 1920 x 1080@30fps, 1280 x 720@40fps Frame Rate(on NVIDIA Jetson) L4t 32.x: 4656 x 3496@5fps, 3840 x 2160@10.5fps, 1920 x 1080@30fps, 1280 x 720@60fps L4t 35.x: 4656 x 3496@4.5fps, 3840 x 2160@8.5fps, 1920 x 1080@30fps, 1280 x 720@60fps Image Sensor IMX519 Active Array Size 4656 x 3496 Optical Format 1/2.53” Camera Interface 2-lane MIPI CSI-2 IR Sensitive Integral IR-cut filter, Visible Light Only Camera Board Size 24mm x 25mm Camarray Hat Size 65mm x 55mm Field of View 66°(H) x 49.5°(V) Focal Length 4.28mm Focus Type Autofocus Focus Distance 10cm~infinity Resources

* Getting Started * Depth Mapping on Arducam Stereo Camera HAT with OpenCV * Camera Kit User Guide * CamArray HAT Firmware Note on NVIDIA Jetson Package Contents

* 4x 16MP Camera Module * 1x UC-512 Camarray HAT * 5x 30cm 15-22pin Camera Cable * 1x 30cm 22-22pin Camera Cable * 1x 7cm 15-22pin Camera Cable * 1x Screw Pack Notes

* The 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. * The 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). * If any camera fails, the composite image can still be output, with the corresponding area of the failed camera being black. * Official Commands and ISP are supported. * The 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. * 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)

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