Model | Cityguard LPR L16 |
---|---|
GPU | Watt, 512 CUDA cores and 64 Tensor cores, 32TFLOPS(FP16) |
CPU | 8-core Camel ARM v8.2 64bit CPU |
Encode | 4x4K@60, 8x4K@30, 16x1080P@60, 32x1080P@30(H.265) |
Decode | 6x4K@60, 2x8K@30, 26x1080P@60, 52x1080P@30(H.265&H.264) |
Memory | 32GB 256 bit LPDDR4, Bandwidth 136.5GB/S |
Storage | 32GB eMMC + 128GB + M.2 2280 nvme SSD |
Network | 2xGigaLAN(RJ45), 1xWIFI(optional), 1x5G(optional) |
Extend | 1xM.2 2230(PCIe module) 1xMiniPCIE(USB module) 1xSIM care slot |
IO | 2xUSB3.0, 2xUSB2.0, 1xOTG 1xRS485, 4xGPIOs, 2xCAN(CAN_FD) |
Display | 1xHDMI2.0(TypeA) |
Power IN | DC_IN 12-24V/60W |
LED | 1xRed LED(Power indication) 1xGreen LED(Controlled by GPIO) |
MAX P | 38W |
Material | Aluminium |
Radiator | Fin, without fan |
To | -30℃ -40℃(80%loading for 50℃) |
Fixed | Table top placement or bracket installation |
Colour | Iron grey |
Weight | 1600g (2300g with packaging) |
Size | LxWxH=200x120x55(mm) |
OS | Ubuntu 18.04 (NVIDIA customized system JP4.6) |
Cityguard LPR L16
Cityguard LPR L16 is an industrial embedded high-performance edge AI machine designed for license plate recognition (LPR) tasks. Based on NVIDIA module, it provides powerful reasoning and processing capabilities. With a self-developed carrier board and the expansion bus of the module, the machine meets the small size requirements for easy installation on site. It is a small edge computing machine suitable for high-performance LPR operations. Additionally, it contains Cityguard engine that is excellent for license plate recognition. Also has all the abilities of Cityguard such as live view, blacklist, whitelist, relay control, and much more. Cityguard LPR L16 can only be configured with sixteen cameras.
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