Introduction
- Body temperature monitoring and face recognition system can effectively reduce the investment cost of medical institutions and educational institutions for monitoring, institutions can dynamically collect body temperature data through face recognition, and establish data information related to temperature monitoring in schools or disease control institutions, so as to provide health warning, health assessment and other services based on big data application mode for regulatory authorities and schools.
- The system is open by the corresponding API interface, which can be integrated with children and adults vaccination system in the future.
- Temperature scanning kiosks use a combination of facial recognition and infrared technology to quickly identify and scan an individual’s temperature.
- These devices can identify an individual and assess their temperature within a few seconds. This makes the kiosks suitable for mass temperature vetting purposes, for instance at large events like concerts or football games, or even for schools looking to quickly screen students as they arrive in the morning.
- These kiosks are non-contact, which minimizes the contact that employees would have with visitors if employees had to scan visitors with a hand-held thermometer.
- These kiosks use similar infrared scanning technology to thermal cameras, but instead of scanning the entire body, only the forehead is scanned. Since the temporal artery in the forehead is a good base for temperature taking, these kiosks function, in some ways, like a temporal scanner.
- Temperature scanning kiosks also have less variability in readings because of the way they scan. These kiosks only scan one person at a time, and require that person to stand about 2 feet away.
- This is a more accurate way of assessing an individual’s temperature than using other mass temperature vetting methods such as thermal cameras, which scan groups of people at once from farther away.
Features
- Non-contact infrared temperature measurement, collecting body temperature more than 20+ times per second.
- Hisilicon industrial-grade AI chip, five-in-one face collection, detection, tracking, comparison and living body judgment.
- Android 9.0 operating system, running at a consistent speed.
- 720P static high-definition camera, traffic as usual under strong backlight environment.
- Dual camera color/infrared dual-light recognition, accurate real-time living body detection.
- The fastest single person recognition speed≤70ms, the recognition rate≥99.9%.
- 1: N compares 20000 face database.
- 8-inch high-definition screen, TTS voice broadcast function, optional onboard 4G module.
Specifications
| Power supply | DC12V,2A | |
| Power consumption | ≤8W | |
| Working temperature | -30℃~+70℃ | |
| Working humidity | 20%-90% | |
| Product size | 291mm*136mm*25mm | |
| Package information | Packing size(1 unit/box) | Packing size(10unit/box) |
| (L)445mm* (T)125mm* (H)185mm | (L)635mm*(T)462mm*(H)390mm | |
| NW/GW | NW:1.6kgs, GW:1.8kgs | NW:16kgs, GW:19.8kgs |