Lilliput TMT-8 – Face Recognition & Temperature Screening Terminal
€ 650,00 + VAT
Lilliput’s TMT-8 is our newest high grade Face Recognition & Temperature Measurement Terminal system. It is a portable temperature-screening and access control solution, ideal for use in lobbies and building entrances.
TMT-8 is a high-performance embedded binocular temperature-measuring face recognition terminal. The terminal integrates offline face recognition, temperature detection, and mask recognition, It also features identity verification, on-site face image collection, and blacklisted entrant early warning detection. With an IP65 rating the unit is dust-proof and wash-down capable.
Installation and usage scenarios are varied and could include community temperature monitoring, identification and access control in domestic communities, campuses, hospitals, hotels, shopping malls, corporate office buildings, public service places, and construction sites.
The Lilliput TMT-8 Terminal is optimised for efficient temperature screening: it will automatically measure skin-surface temperature upon detection of a human face. Furthermore, it does not require identity authentication to begin temperature-screening, again improving measurement efficiency. It is able to measure temperatures between 25°C and 45°C to an accuracy of ±0.5°C. When an abnormal skin-surface temperature is detected, the Lilliput TMT-8 will issue an alert. Additionally, out-of-range temperatures are uploaded to the security centre; this allows security/ temperature-screening personnel to remain at a safe distance from those being screened.
When used for face recognition, it is recommended that the Lilliput TMT-8 terminal is placed at a height of 1.4m to 1.9m. Individuals being screened should stand between 0.5 and 1.5m away. The terminal can determine facial recognition within 1s per person and is 99% accurate. In addition the Lilliput TMT-8 can be programmed to issue a particular alert when a person being screened is not wearing a face mask.
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| Camera | |
| Pixels | RGB Cam : 2 Million / Infrared Cam : 1.4 Million |
| Image Size | 1920 x 1080 |
| Snap Mode | Panorama / Close Up |
| Display | |
| Display Screen | 7″ LCD |
| Resolution | 800 x 1280 |
| Infrared Module | |
| Detection | Infrared Thermal Image |
| Measuring Range | 25°C to 45°C |
| Accuracy | +/- 0.3°C |
| Distance | 30 – 60cm |
| Recognition | |
| Abnormal Alarm | Available |
| Face Database Capacity | 20,000+ |
| Face Recognition | 1:1 / 1:N |
| Recognition Mode | Offline Dynamic Portrait Mode + Double Eye Check Counterfeit Mode |
| Recognition Rate | >99% |
| Speed | <1 second |
| PC Specifications | |
| Interface | LAN, USB, Relay Signal, Wiegand input, (Optional Wiegand Output) |
| Processor | ARM Dual Core Embedded Processor |
| Memory | 2GB |
| HDD | 16GB |
| Dimensions | |
| Protection Rating | IP66 |
| Size | |
| Dimensions | 220mm x 130mm x 24mm |
| Weight | 1.5Kg |
| Power | |
| Input Voltage | DC 12V 3A Power Supply |
| Power Consumption | <= 10W |
| Environment | |
| Operating Humidity | 20% to 90% |
| Operating Temperature | -20°c to +65°c |
| Weight | 1500 g |
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