Payment Terms | TT /Paypal |
Supply Ability | 100K/month |
Delivery Time | 3-5 working days for sample |
Packaging Details | 1pc/bubble bag, proper qty in a carton |
Name | Embedded Board JLD-F03 For Face Recognition Machine |
CPU | RK3568 Quad-core 64-bit Cortex-A55 processor, with the highest frequency of 2.0GHz |
GPU | ARM G52 2EE |
USB Interface | USB3.0 HOST/OTG |
PCB Size | 122mm*75mm |
Video Output | EDP (2560 * 1440), MIPI format video output |
Stable Power Delivery | DC 12V / 3A Input |
Ram | 2GB/4GB/8GB |
OS | Android 11/ Ubuntu 20.04/Debian 10 |
Rom | 16GB/32GB/64GB/128GB/256GB |
Brand Name | JEWELLED |
Model Number | JLD-F03 |
Place of Origin | China |
View Detail Information
Explore similar products
RK3568 Android11 HD-MI LVDS Linux Embedded Board RS232 RS485 Customizable
IR Supported Android Embedded Board with Touch Panel and Stereo Audio Output
4G/5G Network Android Rk3588 Mini Pc Motherboard Embedded Industrial for Android
RK3288 Android Embedded Board For Smart Access Control And Turnstile JLD-F02
Product Specification
Payment Terms | TT /Paypal | Supply Ability | 100K/month |
Delivery Time | 3-5 working days for sample | Packaging Details | 1pc/bubble bag, proper qty in a carton |
Name | Embedded Board JLD-F03 For Face Recognition Machine | CPU | RK3568 Quad-core 64-bit Cortex-A55 processor, with the highest frequency of 2.0GHz |
GPU | ARM G52 2EE | USB Interface | USB3.0 HOST/OTG |
PCB Size | 122mm*75mm | Video Output | EDP (2560 * 1440), MIPI format video output |
Stable Power Delivery | DC 12V / 3A Input | Ram | 2GB/4GB/8GB |
OS | Android 11/ Ubuntu 20.04/Debian 10 | Rom | 16GB/32GB/64GB/128GB/256GB |
Brand Name | JEWELLED | Model Number | JLD-F03 |
Place of Origin | China |
Embedded Board JLD-F03 is equipped with the RK3568 Quad - core 64 - bit Cortex - A55 processor, which can handle complex tasks such as face recognition algorithms and access control logic with a maximum frequency of 2.0GHz. It has a dual - MIPI camera interface, which supports high - definition cameras, enabling clear capture of facial images and surrounding environments, and improving the accuracy of face recognition. It also supports USB cameras, providing more flexible options for different application scenarios.
CPU | RK3568 Quad-core 64-bit Cortex-A55 processor, with the highest frequency of 2.0GHz |
GPU | ARM G52 2EE |
Memory | 2G/4G/8G DDR4 option |
EMMC | 16G/32G/64G option |
NPU | support 1T computing power, support 4K 60fps |
Camera | Support USB or MIPI |
PCB Size | 122mm*75mm |
USB Interface | USB3.0 HOST/OTG |
Audio output | stereo sound, support for Dolby sound effects |
External Memory | Support TF-CARD |
1 | EI | Extended Interface |
2 | WG_IN | Weigen Input |
3 | MINI_HDMI | Mini HD Video Interface |
4 | MIC2 | Double Microphone Input2 |
5 | MIC | Single Microphone Input |
6 | SPK_R | Right-channel Speaker Output Interface |
7 | HP | Internal Output Port of the Headset |
8 | SPK_L | Left-channel Speaker Output Interface |
9 | FAN | Fan Interface |
10 | IR | Infrared Lamp Interface |
11 | LED | Fill Light Interface |
12 | DEBUG | Debug Serial Port |
13 | USB | USB HOST Interface |
14 | USB | USB HOST Interface |
15 | USB | USB HOS Interface |
16 | USB | USB HOST Interface |
17 | USB | USB HOST Interface |
18 | RS485 | TTL/485 Interface Optional |
19 | UART7 | TTL/RS232 Interface Optional |
20 | UART1 | TTL/RS232 Interface Optional |
21 | BAT | External RTC Battery Interface |
22 | VOUT | Power Output Interface |
23 | GPIO
| GPIO/IIC/CAN Interface Optional |
24 | PCIE | 3G/4G Module Interface |
25 | LCD_EDP | EDP Display Interface |
26 | WIFI | Antenna Interface |
27 | CAM | MIPI Camera Interface |
28 | SIM | SIM Card External Serial Port |
29 | SIM_CARD | SIM Card Stand |
30 | TP | I2C Capacitive Touch-screen Interface |
31 | LCD_MIPI | MIPI Display Interface |
Face recognition machine: It can accurately identify personnel through face recognition technology, and is widely used in office buildings, schools, and communities. The dual - MIPI camera interface can capture facial features from multiple angles, improving recognition accuracy.
Company Details
Business Type:
Manufacturer
Year Established:
2009
Total Annual:
10000000-20000000
Employee Number:
200~300
Ecer Certification:
Verified Supplier
Shenzhen Jinglingda Technology Co., Ltd. was established in 2009 and is a national high-tech enterprise that integrates research and development, production, and sales. For 24 years, the company has been recognized as a professional innovative small and medium-sized enterprise, deeply cultivating t... Shenzhen Jinglingda Technology Co., Ltd. was established in 2009 and is a national high-tech enterprise that integrates research and development, production, and sales. For 24 years, the company has been recognized as a professional innovative small and medium-sized enterprise, deeply cultivating t...
Get in touch with us
Leave a Message, we will call you back quickly!