Face Recognition Access Control Terminal with Digital Detection Module
- Brand:: UniView
- Product Code: OET-213H-BTS1-BD
- Availability: In Stock
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 Supportnon-contact detection of wrist temperature, support warning people with abnormal body temperature Supportnon-contact detection of wrist temperature, support warning people with abnormal body temperature Support the detection of wrist distance, improve the accuracy of temperature measurement Support the detection of wrist distance, improve the accuracy of temperature measurement Support body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection Support body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection Support configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value Support configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value Non-contact wrist temperature detection module, measurement range is between 30℃ to 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.3℃, and measurement distance is between 1cm to 4cm Non-contact wrist temperature detection module, measurement range is between 30℃ to 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.3℃, and measurement distance is between 1cm to 4cm Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rate > 99%, false rate < 1% Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rate > 99%, false rate < 1% Built-in deep learning dedicated chip, supports local offline recognition, 10,000 face capacity, face whitelist (1:N) Built-in deep learning dedicated chip, supports local offline recognition, 10,000 face capacity, face whitelist (1:N) Fastest recognition time 0.2 seconds, various model merge mode are used to reduce false rate and increase pass rate Fastest recognition time 0.2 seconds, various model merge mode are used to reduce false rate and increase pass rate WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes Support anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video Support anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video Support face metering and human metering for fast adapting to ambient light Support face metering and human metering for fast adapting to ambient light Suggested height for face recognition: between 0.8m and 2.2m, face recognition distance: 0.2m to 2.9m Suggested height for face recognition: between 0.8m and 2.2m, face recognition distance: 0.2m to 2.9m Support screen sleep mode, keep the minimum brightness to prevent glare at night Support screen sleep mode, keep the minimum brightness to prevent glare at night Support add up to 6 photos ofthe base library for a single person Support add up to 6 photos ofthe base library for a single person Support video capture, support ONVIF protocol Support video capture, support ONVIF protocol Support face, card, and QR code authentication to control door open Support face, card, and QR code authentication to control door open Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images) Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images) Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active- Features Parameter - Description - Operation System - Linux - Face Recognition Accuracy Rate - >99% - Face Recognition Time - 200ms - Face Capacity - 10,000 - Card Capacity - 100,000 - Storage Capacity - 4GB - Event Capacity - 8,000(with images);30,000(without images) - Authentication Mode - Face Whitelist∶ (1∶ N) - Card:(1:N) - Face +Body temperature + Mask Detection - Door Opening Method - Face, Password, Card - Communication Mode - 10/100Mbps adaptive network port - Card Type - Mifare1 Card - User Management - Support user library addition, deletion, update - Record Management - Support local recording and real-time upload - Interface - LAN×1, Wiegand Input×1, Wiegand Output×1, RS485×1, Alarm Input×2, Alarm Output×1, USB2.0×1, Lock×1, Door Contact ×1, Exit Button×1 - Power Supply - Input 12V±25% DC - Power Consumption - Terminal: 10W 
 Module: 756mW- Weight - Terminal:641g 
 Module: 131g- Screen - Touch Screen, Size:7 inch, Resolution: 600×1024 - Camera - Dual Lens, 2MP, 1080P - Supplement Light - LED soft light and infrared light - Dimensions (L×W×H) - Forterminal: 134.0mm×33.0mm×305.0mm 
 For module: 87.0mm×45.0mm×27.0mm- Working Environment - For terminal: -20℃-65℃, Relative Humidly<95% (non-condensing) 
 For module: 10℃-40℃- Protection Level - Both terminal and module: IP 54 - Application Situation - Indoor, No wind 
Tags: heat-tracker face, recognition, access, control, terminal, with, digital, detection, module, heat-tracker



