JWIPC launched the industry’s first RV1109 facial recognition motherboard
Date : 2020-08-11
JWIPC, For a Smarter World!
JWIPC launched the industry’s first RV1109
facial recognition motherboard
Complying with the iteration demand of market product, JWIPC launched the industry’s first RV1109 facial recognition motherboard R19S. With its cost-effective and the capacity of visual processing, to boost upgrade of the facial recognition equipment.
High-performance AI vision processor—RV1109
Ø Dual core ARM Cortex-A7 and RISC-V MCU
Ø 150ms Fast booting
Ø 1.2Tops NPU
Ø 5M ISP with 3F HDR
Ø Up to 3 sensor simultaneous input
Ø 5M H.264/H.265 encoder and decoder
Stronger computing power, Lower power consumption, Higher cost performance
Sophisticated and thin, Super suitability
R19S adopts 2.5 inch compact design ,which can put into a variety of small terminal equipment easily.
Support for Linux operating system, onboard DDR4 memory and EMMC storage, optional specification, suitable for different facial recognition application devices and scenarios.
It supports multiple communication mode, including 2.4G WIFI , 10M/100/adaptive Ethernet. PCI-E interface extensible 3G/4G module and Nano SIM card, which can adapt to internet surfing and calling functions under different network environments.
Rich interfaces, strong expansion performance
Dual MIPI interfaces, support camera, display screen and other peripheral connections, optimize material cost.
Support 4 USB2.0, 4 expandable serial ports (1 RS232, 1 RS485, 2 TTL), GPIO, which can meet the requirements of the infrared temperature measurement, card reading function, alarm device and other mainstream peripherals.
Peripheral debugging is basically completed, can support most peripherals plug and play.
Industrial Level design
Support wide outdoor temperature
Adaptive face algorithm
R19s is designed, tested and manufactured based industrial level materials and industrial level standards.
The motherboard supports -20~80℃ wide temperature operation. With MCU, the watchdog function can be realized, which can reduce operation and maintenance cost.
RV1109 supports a series of deep learning frameworks such as TensorFlow / MXNet / PyTorch / Caffe to meet the different needs of developers and adapt to different face recognition algorithms.