Face Recognition Access Control Terminal with Digital Detection Module

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 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 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% 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, and QR code authentication to control door open Two-way audio with indoor monitor 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 Features ParameterDescriptionOperation System LinuxFace Recognition Accuracy Rate>99%Face Recognition Time200msFace Capacity10,000Card Capacity100,000Storage Capacity4GBEvent Capacity8,000 (with images)Measurement Range30?-45?Measurement Accuracy0.1?Measurement Deviation?0.3?Measurement Distance1cm-4cmAuthentication ModeFace Whitelist: (1:N)Card:(1:N)Face +Body temperature + Mask DetectionDoor Opening Method Face, Password, QR code, Card Communication Mode10/100Mbps adaptive network portCard TypeMifare1 CardUser ManagementSupport user library addition, deletion, updateRecord ManagementSupport local recording and real-time uploadInterfaceLAN?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?1Power SupplyInput 12V?25% DCPower ConsumptionTerminal: 10W
Module: 756mWWeightTerminal: 641g
Module: 131gScreenTouch Screen, Size:7 inch, Resolution: 600?1024CameraDual Lens, 2MP, 1080PSupplement LightLED soft light and infrared lightDimensions (L?W?H)For terminal: 134.0mm?33.0mm?305.0mm
For module: 87.0mm?45.0mm?27.0mmWorking EnvironmentFor terminal: -20?-65?, Relative Humidly<95% (non-condensing) For module: 10?-40?Protection LevelBoth terminal and module: IP 54Application SituationIndoor, No wind Datasheet of OET-213H-BTS1-BD