Camera kit with AI engine
We made an advanced camera kit with features:
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Dual Core ARM Cortex-A35 processor with:
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256MB DDR3 RAM (SIP package);
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High performance Image Vision ISP (up to 5Mpix with HDR);
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H.264/H.265/JPEG encoder;
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Video scaling, OSD support;
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OpenCV hardware accelerator;
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Hardware NPU supports TensorFlow, Caffe and etc;
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Hardware audio decoder (G.711, G.726, ADPCM).
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Default sensor:
Option 1: Sony IMX462 (Full HD (1920x1080), Rolling shutter, ultra-low noise, HDR mode, 60fps);
(sensor + GMSL2 board adapter supplied with a camera kit);
Option 2: Sony IMX392, Global shutter, Full HD, 60fps;
Option 3: Sony IMX528, iTOF 3D sensor. -
100Mbit LAN RJ45 port;
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GMSL2 interface (coax cable with power,
15 meters cable length max); -
Supports GMSL2 cameras also.
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5” Color TFT LCD 720x1280 (MIPI-DSI interface);
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microSD card slot (for video recording);
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Possible extension for audio in/out;
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CAN 2.0b bus (+ CAN FD) (based on STM32F7 controller);
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Wi-Fi 802.11 b/g/n/ac (HostAP and STA, MIMO 2x2) + BLE 5.3;
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12VDC input (low power consumption);
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Temperature range: -20.. +70 ºC (possible extension).
Software:
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Linux 5.15.78 (Fastboot) + Buildroot;
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Demo application with RTSP server, H.265 encoder (streaming video from the camera over Wi-Fi network, LAN network);
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Running BlueZ for future BLE applications;
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Running WiFi HostAP (+ DHCP server) and WiFi STA – possible to get RTSP video stream using VLC application on mobile phone or tablet.
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SDK for custom application development;
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OpenCV HW accelerators support in SDK;
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NN API in SDK (for example – face recognition).
Board block hardware diagram: