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WiFi Non-Contact Face Recognition Body Temperature Automatic Infrared Thermal Scanner Kiosk Access Control System with Touch Screen/Attendance/Cloud Management
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WiFi Non-Contact Face Recognition Body Temperature Features
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【Quality and Service】We support 30-day unconditional refund and exchange and 3-year warranty period, strong technical team to provide lifetime free technical support.This temperature scanner widely used in gate channel and access control attendance,like Entrance and Exit of Office,Schools,Industry, Station,Hotels,Store,Supermarkets,Security Departments and other Crowded Area,to achieve safe and efficient access control of personnel,which you could clearly know that you are in a safe environment
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【Professional and Free Cloud Serive Management】Integrated Android system ,this temperature scanner forehead support Local client management software and Cloud platform online management, 8-inch IPS 1080P HD display, Rich interface protocols, Support external U disk, video playback and external Bluetooth speaker as alarm；Support Cloud service managment and remote view anytime and anywhere through Smartphone/Pad/PC
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【Accurate Temperature Measurement】Temperature measurement range 86~108.5(°F) Accuracy ± 1 (°F)，High temperature alarm value can be set, Supports centigrade or Fahrenheit, Default Fahrenheit, Support mid-range temperature measurement and real-time warning of high Temperature, this wifi temperature scanners camera support binocular live detection
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【Secure and High Effect Attendance Managment】8 inch Wireless Infrared Body Temperature Thermal Sanner,Non-contact automatic body temperature detection support attendance managment ,Full screen touch support, brush human face and perform high-precision infrared human temperature acquisition at the same time, recognition time <200ms ,the attendance time can be set in your needs, attendance records data can be exported,Fast and High Effect
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【Face Comparison Library】This face recognition body temperature Max support the simultaneous storage of 50,000 face photos (less than 400 KB),10 million recognition records (0.45 KB) and 200,000 live capture photos, Support electronic voice broadcast (normal human body temperature or super high alarm, face recognition verification results, Warning if not wearing a mask),the accuracy of 1:N recognition is 99.7% under the condition that the false recognition rate is three out of ten thousand
