E300
E300 achieves fast and seamless access for intelligent door locks through 3D facial recognition algorithms and facial liveness detection technology. Equipped with a low-power，integrated NPU unit chip，this chip has built-in power management modules such as DC and LDO，greatly reducing the number of peripheral power devices used. E300 can complete the entire process of structured light depth calculation + liveness detection + facial recognition calculation，and directly output the facial recognition results to the backend AP through the serial port，reducing the computational requirements and technical coupling of the backend AP.
Specifications
| Working distance | Horizontal: 0.35-1m Vertical: 1.2-2m |
| Depth accuracy | 1mm@0.6m |
| Baseline | 25mm |
| Operating temperature | -10℃~60℃ |
| Storage temperature | -30℃~70℃ |
| External communication interface | UART |
| Size | 49.2*12.6*9.5mm |
| Average power consumption | 650mW |
| Depth/IR resolution | Maximum support 1020*1280 |
| Depth/IR FOV | 62°±2°(H)*75°±2°; Supports vertical field of view |
| Data format | RAW |
| Data interface | MIPI |
| Face database | 1:N supports up to 100 individuals |
| IR/Depth alternating output | YES |
| ROI | YES |
| Power supply | Wide voltage output of 4.5-16V |
Feature of Product
Integrated design. Compact, low power.
Equipped with low-power chip, built-in power management module.
Deeply optimized visual algorithm, unlocking time <1s.
Integrated design, easy for lock companies to integrate, only requires serial port connection to use.
Safe and reliable, high recognition accuracy.
Payment-grade 3D facial recognition algorithm.
3D liveness detection prevents attacks such as 2D static images, 3D head models, and masks.
TAR > 99%, FAR = one in a million.
Equipped with anti-spoofing features for tailgating, mask-wearing, occlusion, loitering, and hijacking scenarios.
Vertical wide field of view, providing full coverage of the scene.
Recognizes facial features of individuals within a height range of 1.2-2 meters, suitable for all ages.
Accurately captures facial information in low light or dark conditions.
Application scenarios
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