Flat-panel Dynamic Facial Recognition All-in-One Machine (10-inch Wall Mount)
- 产品描述
- 技术参数
- 产品优势
- 项目案例
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Facial recognition The product series features 3D Facial Image Acquisition , Equipped with an infrared night vision probe, effective identification is possible even in the dark. . Due to 3D Data collection acceptance can vary. 45 Facial rotation and vertical movement of the degree 25 The range of the tilt angle . This series has already passed more than 10 The facial database spans a vast array of 2 Yearly testing , At the same time, the algorithm is also available in the United States. San Jose Ranking among the top in the university's annual test , It received the highest rating in terms of user comfort. .iFace It adopted the embedded American MW. CPU, The clock frequency is 630 MHz, Can handle up to 1:20,000 Of 1:N Speed , Fingerprint + Facial approach , Industrial design for Germany TGG Company , It utilizes a magnesium-aluminum alloy. +PC Advanced craftsmanship + Mirror finishing process , Data collection and comparison are just like looking in a mirror—supporting 2.8 / 3.5 / 7 Inch TFT.Function:Dynamic facial recognition(000–20,000-face database);Open the door using a mobile app;Fixed-user facial recognition for door opening;Visitor ID and access control combined for door opening;1-second recognition, automatic door opening within 1.5 meters, and supports offline dynamic facial recognition.
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Processor RK3288, quad-core A17, clock speed 1.8GHz
Pixel 2 million, wide dynamic range, resistant to strong light
Memory: DDR3 2GB, with maximum support up to 4GB
Built-in memory EMMC 8GB, supports up to 128GB
Display screen 7-inch LCD display, screen resolution: 1024×600
Person Verification and Comparison Supports ID card verification when an external ID reader is connected.
Dynamic Recognition Supports 1:N matching against face databases ranging from 5,000 to 20,000 faces
Face detection accuracy ≥99.99% face recognition accuracy: ≥99.7% face recognition time: <400ms per person
Identification range Detection distance: 0.5m–2m; Detection height: 1.2m–2m
Offline recording: 100,000 offline records
Infrared Motion Sensing Policy control for supporting fill lights
Algorithm Supports face detection, face tracking, quality assessment, and face comparison.
IO: 4 IO ports
Serial port 3-channel serial port/UART (2 default TTL, 1 default TTL debug port)
USB: 6 USB 2.0 ports (including 1 USB OTG)
Power interface DC 12V, 5A
Network Communication Single network port, Wi-Fi
Dimensions Please refer to the actual dimensions of each product.
Material Aluminum alloy
Operating temperature -20°C to 70°C
Working humidity 10%~90%
Power consumption 20W
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(1 ) Industry-leading deep learning algorithms
- Live detection algorithm eliminates non-face-based spoofing.
- Face detection takes approximately 30ms , fastest < 10ms
- Feature extraction combined with face database matching takes less time. 180ms
- Quality evaluation algorithm, processing time < 2ms
- Facial recognition accuracy > 99.7 %
- Operators are deeply integrated with chips, enabling algorithmic chipization and significantly boosting chip computing power.
( 2 ) A million-level face database, with millisecond-level recognition
- Support 5000 to 20,000 The local facial recognition database 1: N Dynamic Recognition
- Can recognize even without internet access, gate-opening time <1 S
( 3 ) Anti-glare, meets 90 More than % of scenario requirements
- By using a camera specifically designed for facial recognition, the impact of backlight on faces is significantly reduced, ensuring high-quality face capture.
( 4 ) Exquisite craftsmanship for lasting durability; ultra-simplified deployment—installation and operation require only 4 Step
- A professional design team meticulously crafts products using industrial-grade materials and aerospace-level craftsmanship.
- Extremely simplified deployment and installation, with fully functional applications, enabling rapid setup of small to medium-sized systems.
- Support SDK Secondary Development
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