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| Brand Name : | HUSHIDA |
| Model Number : | AI-F1 |
| Certification : | ISO9001 24001, 3C, CE, Rohs, FCC |
| Price : | Negotiable |
| Payment Terms : | T/T, Western Union |
| Supply Ability : | 10,000 units per month |
| Delivery Time : | 1-10 days |
HUSHIDA F1 Series Face Intelligent Passing Machine with Binocular Camera For Corporate Entrance,Meeting Room and Hotel
Product Overview:
Product Specifications:
| Screen size | 7 inch |
| Algorithm type | Deep learning face recognition algorithm |
| Face library | 1: 10000 |
| Recognition time | 340 milliseconds (5000 face database retrieval time |
| Error recognition rate | < 0.01% |
| Rejection rate | < 0.1% |
| Recognition distance | 1m ~ 1.5m |
| Personnel management | Support the addition, update, deletion of face database and employee information viewing |
| Camera pixel | 2 million |
| Fill light sensing distance | ≤3 meters |
| Backlight recognition illumination | <6000Lux |
| Face filtering method | Biggest face |
| Number of simultaneous snapshots | 1 person |
| Face registration method | WeChat / on-site photo / photo entry / identity card reading entry |
| Bulk entry | Stand by |
| Way of opening | 232/485 / relay signal |
| Hardware platform | RK3288 |
| Interface | Power 12V, USB2.0 * 2 (can be read by QR code, ID card, IC card, etc.), |
| Software platform | 100M network interface * 1, switch * 1, Wiegand |
| Dimensions | Windows 7 |
Facial Recognition To Measure Temperature
It is based on infrared thermal imaging technology, using imported infrared sensor and 2-megapixel binocular live wide dynamic camera,
face recognition within a distance of 0.3 m-0.5 m while collecting body temperature. It works even if you wear a mask on your face, better prevent cross-infection.
Application Of Face Recognition Machines
The intelligent temperature measuring machine can be installed in the main entrances of crowded places such as enterprises,schools, hotels, shopping malls, office buildings, banks, government halls, etc., to monitor the temperature of employees, customers, and visitors in real time, effectively helping to prevent epidemics.















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