Shenzhen Mercedes Technology Co., Ltd
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Android system face recognition and infrared thermometer time attendance terminal access control
AI Face Recognition & Body Temperature Measurement Access Control Terminal is a complete epidemic prevention solution that integrates AI face recognition, body temperature measurement,mask recognition, access control and attendance capabilities. The site undertakes efficient temperature detection, identification and traffic management,
effectively reducing the pressure on epidemic prevention and control, and also human resource costs.
Built-in infrared non-touch temperature measurement module. When people is performing face recogintion, It can measure their forehead and facial skin temperature at the same time, In a not-contact, accurate,reliable,efficient,and non-perceived way,the terminal will issue an unusual warning to those whose body temperature exceeds nornal values,and show their temperature.
Product Features
1. Body Temperature Monitor: Set the body temperature threshold, through the associated access control, do not open the door and push the alarm when someone is exceeding the threshold.
2. Intelligent Recognition:By comparison with the face photo database, recognize visitors who are in the whitelist, blacklist or a stranger; both can do face recognition, and also check for wear masks
3. Fever Alarm warning:For abnormal body temperature, no mask, stranger or blacklisted person, push alarm to mobile APP
4. Voice Broadcast:The device itself has a voice broadcast capability, and issues a voice reminder according to a preset result Combined with face recognition function, it can be used to check in and out of work attendance for employees of enterprises and institutions.
5. Attendance: Can connect external voice broadcast equipment, display equipment and alarm equipment.
6. Third-Party Docking: The information obtained locally can be uploaded to the cloud, and the cloud forms reference data through data input and data analysis to provide references for queries and work plans.
7. Cloud Management: The information obtained locally can be uploaded to the cloud, and the cloud forms reference data through data input and data analysis to provide references for queries and work plans.
