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Help CenterFace Recognition and Temperature Detection Device for Access Control Camera System
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True binocular live detection to prevent photo attacks
High accuracy: Face 1: 1 accuracy> = 99.9%, Face 1: N accuracy> =
99.9%
Fast recognition speed: 1: 1 single frame comparison time is 60ms, 1: N
is 300ms for single frame comparison in 10,000 face database
Auto-sensing: infrared sensor automatically turns on the camera for
face dynamic recognition
Support facial recognition white-list access, black-list warning, and
photo passing
Support identification of whether or not a person wears a mask to
achieve targeted humanized voice prompts and strengthen awareness
of prevention
Support external high-precision infrared body temperature detection
module to achieve non-contact self-service measurement of human
body temperature and reduce the risk of cross infection
Support voice alarm for abnormal body temperature and block traffic
Support the back-end PC system to centrally manage traffic records
such as temperature, visitors, white-list, etc., and the data can be
traced in real time
Support for external ID card readers
Support external IC / ID card reader to realize the function of humancard comparison
Self-service face collection and batch import list, list management is
more labor-saving and time-saving
Custom voice for personalized voice broadcast
10
Temperature monitoring face recognition machine
Support image and video ad playback
Up to 100,000 pieces of data (cyclic write)
Support remote upgrade and U disk upgrade on the management side
Open interface to support secondary development and docking
High-end aluminum alloy material, surface oxidation process
Technical Parameters
| Basic parameters | Installation scenario | Wall / gate installation |
| Operating | -25℃~+75℃ | |
| temperature Operating |
≤90% | |
| temperature power input |
DC12V，Protection against surges and static | |
| electricity Cortex-A53 Eight core1.4GHz |
Hardware Configuration |
CPU |
| Internal storage | 1GB DDR3 800MHz | |
| Storage capacity | EMMC 8GB | |
| Display panel | 8 inch LCD 800*1280 | |
| Audio frequency | Differential MIC input / 3W stereo speakers | |
| LED light | 3-way LED light control interface (red, green, white) |
|
| Visible light camera | 200W HD pixels | |
| Infrared camera | 200W HD pixels | |
| RTC battery | Rechargeable, large quantity supports storage time of 24 months |
|
| Software parameters | operating system | Android |
| Face capacity | 100,000 sheets | |
| Offline recording | 100,000 photos included, 1 million photos | |
| Recognition distance | e 0x.5c~lu3dmed（Face recognition） |
Temperature monitoring face recognition machine
| Biometrics | Support infrared sensor | |
| Infrared face | Support | |
| features Recognition speed features |
200~300ms (within 30,000 face database), temperature measurement 200~300ms |
|
| Enter face with mobile phone |
Support face registration on mobile phone | |
| Temperature sensing parameter |
Temperature sensing | Non-contact, infrared thermal imaging |
| module Working temperature |
-40℃~+80℃ | |
| Target temperature | -40℃~+300℃ | |
| Temperature measurement error |
±0.2℃~0.4℃ | |
| Temperature measurement distance |
≤1meter | |
| internet | Wired network | Support 1000M RJ45 interface |
| WIFI | Support 802.11 B / G / N (optional) | |
| Peripheral interface | Power interface | 1 x DC12V，DC005initial interface2.1*5.5 |
| USB interface | 1 x USB2.0 | |
| Relay output | 1 x digital output, 2PIN 3.8 pitch terminals | |
| Cable interface | 1 x RJ45internet interface | |
| Appearance craft | Housing material | Aviation grade aluminum alloy |
| Processing technology |
CNC manufacturing process, polishing, sandblasting, anodizing, mirror gloss |
|
| panel | 2~4N/cm High-strength tempered glass | |
| waterproof level | IP65 | |
| Display panel | SOCAFull lamination process, UV optical adhesive, optional touch screen |
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