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JP-M5201 Facial Recognition
The Junpeng Jiemu facial recognition product is based on the Ruixin Micro RK3288 high-performance quad core application processor platform. The RK3288
Product details
The Junpeng Jiemu facial recognition product is based on the Ruixin Micro RK3288 high-performance quad core application processor platform. The RK3288 main chip integrates quad core Cortex-A17 and Mali-T764 high-performance GPU, with a maximum clock speed of 1.6GHz. It has super computing performance, 2D/3D graphics processing capability, and full HD video encoding and decoding capability, perfectly supporting 4Kx2K@60fps Ultra clear decoding and 4Kx2K HDMI ultra clear output.
function |
detailed description |
| CPU | RK3288 Cortex-A17 quad core, maximum frequency 1.6GHz |
| DDR | DDR-III 2GB (4GB optional) |
| storage | Default standard 8GB EMMC NAND chip (maximum support 128GB) |
| LVDS | 30 pin industry standard dual LVDS interface, supports VESA/JEITA format, supports up to 1080P output |
| EDP | 20 pin universal four channel EDP interface, supporting up to 1080P output |
| HDMI output | HDMI 2.0 standard display interface, supporting up to 2016P output |
| HDMI input | HDMI 1.4a standard input interface, supporting up to 1080P input |
| Line output | Support standard left and right channel line output (pin interface) |
| Amplifier output | 8 ohms · 6W dual channel audio amplifier output |
| MIC input | Differential MIC input (pin header interface) |
| Line input | Stereo line input (pin header interface) |
| USB port | 2 external vertical insertion ports, 4 built-in independent pin sockets, and 1 OTG pin socket |
| serial port | 4 TTL/232 configurable serial ports |
| TF card | Self elastic TF card socket, supporting up to 128GB TF card |
| camera | Supports USB cameras up to 2 million yuan |
| WiFi | Built in high-performance SDIO interface WiFi module, supporting IEEE 802.11 b/g/n |
| Bluetooth | Built in high-performance serial port BT module, supporting V2.1+EDR/BT v3.0/BT v3.0+HS/BT v4.0 |
| Ethernet port | 10/100M adaptive Ethernet |
| backlight control | Industry standard LCD screen backlight control interface, supporting backlight switch and brightness adjustment |
| Infrared remote control | Standard infrared remote control receiver head and infrared receiver needle set interface |
| GPIO input | 5 GPIO inputs, expandable GPIO buttons and/or digital inputs |
| Real-Time Clock | Ultra low power RTC circuit, and can support timed power on/off |
| indicator light | Standby and working indicator lights |
| button | Support input of 9-15V wide voltage DC power supply |
| Environmental Requirements | Working temperature 0 °~70 ° C, working humidity 0%~95% (non condensing) |
| motherboard size | Length * Width (123.8mm * 87.7mm) |
| Android system | Android 5.1.1 and Android 6.0 |
Features:
1: The accuracy of facial recognition exceeds that of human eyes, and recognition can be completed within 1 second (the facial feature library can be optimized with a multi-threaded binary tree algorithm, and even 100000 faces can be easily achieved in milliseconds);
2: 2 million to 3 million high-definition wide dynamic cameras, with live detection function enabled, can recognize distances up to 6 meters;
3: Equipped with monocular liveness detection, binocular liveness detection function, and embedded software and hardware integrated design;
4: 7-inch TFT high-definition full-color screen, compatible with horizontal and vertical display interfaces;
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