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3. 3 DATASHEET Product Dimensions

1. 1 DATASHEET Face Recognition Access Control Terminal with Digital Detection Module Product Overview D igital detection face recognition access control terminal is a kind of access control device with precise recognition rate, large storage capacity and fast recognition, which integrates UNV face recognition technology and non-contact temperature detection technology. The digital detection module supports rapid body temperature detection. Thus, the product can achieve face recognition and temperature detection at the same time, and support warning people with abnormal body temperature. It can be widely applied in the crowded places, such as smart communities, schools, office buildings , hospitals and other important areas. Product Features Support non - contact detection, support warning people with abnormal body temperature Support body temperature detection and personnel information binding, which can quickly confirm personnel information and do body tem perature detection Support configure temperature detection threshold value, and personnel access authority can be configured throu gh temperature detection threshold value Non-contact temperature detection module, measurement range is between 30 °C to 45 °C , measurement accuracy can reach 0.1 °C , measurement deviation is less than or equal to 0.3 °C , and measurement distance is 1 meter 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) 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 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 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 add up to 6 photos of the base library for a single person Support video capture, support ONVIF protocol Support face, card, password 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) Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active

2. 2 DATASHEET Product Specification Features Parameter Description Operation System Linux Face Recognition Accuracy Rate > 99 % Face Recognition Time 200ms Face Capacity 10 ,000 Card Capacity 1 00 , 000 Storage Capacity 4GB Event Capacity 8,000 (with images) Measurement Range 30 °C - 45 °C Measurement Accuracy 0.1 °C Measurement Deviation ≤ 0.3 °C Measurement Distance 1m Authentication Mode Face Whitelist ∶ (1 ∶ N) Card:(1:N) Face +Body temperature Mask Detection Door Opening Method Face, Password, QR code, Card Communication Mode 10/100Mbps adaptive network port Card Type Mifare 1 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 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) For terminal : 134.0mm × 33.0mm × 305.0mm Working Environment For terminal: − 20 °C - 65 °C , Relative Humidly < 95 % (non-condensing) For module : 15 °C - 30 °C Protection Level Both terminal and module: IP 54 Application Situation Indoor, No wind

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