- Industrial-grade design for a sophisticated and elegant appearance.
- Stable and reliable operation ensured by the embedded Linux OS.
- Inclusion of a built-in QR code module, offering a feature-rich and highly-integrated solution.
- UNV deep learning algorithm model guarantees face recognition accuracy rates exceeding 99% with a false rate less than 1% and rapid recognition speeds (up to 0.2s).
- Local offline recognition is facilitated by the built-in deep learning chip, supporting a substantial face (1:N) capacity of up to 50,000.
- Equipped with a 2MP WDR camera featuring intelligent metering, ensuring high-quality image capture in diverse and challenging lighting conditions.
- Incorporation of RGB+IR dual-camera liveness detection function effectively prevents image or video spoofing.
- Offline speech synthesis engine supports the broadcasting of a person’s name after successful authentication, along with customizable voice prompts.
- Advertising mode support allows users to customize the timing for switching between pictures or videos and provides playback time statistics.
- Comprehensive support for pandemic prevention and control with features such as temperature measurement (requires an external module) and mask detection.
- Multiple authentication methods supported, including face, card, password, QR code, etc., for flexible access control.
- Device management capabilities available in both the local and web interfaces, allowing tasks such as personnel entry tracking, parameter configuration, and system maintenance.
OET-573B-HMQR-WR
₨ 135,200
20 in stock
20 in stock
Description
Parameter | Description |
---|---|
Operating system | Linux |
Face recognition accuracy rate | >99% |
Face recognition time | 200ms |
Face capacity | 50,000 |
Card capacity | 50,000 |
Storage | 16GB |
Event capacity | 200,000 events (without images); 50,000 events (with images) |
Common authentication mode | Face allowlist (1:N), Number allowlist (1:N) |
Door opening mode | Face, password, QR code, card, or any combination of them |
Communication mode | 1×100Mbps Ethernet interface |
Card support | Mifare card, USIM NFC card |
Personnel management | Supports adding, updating, and deleting face libraries and their members |
Record management | Supports saving records locally and uploading records to a third-party platform in real time |
Interface | Network port×1, Wiegand input×1, Wiegand output×1, RS485×1, alarm input×2, alarm output×1, door lock interface×1, door sensor interface×1, door button×1 |
Network | Two network modes: 1. Connects to Wi-Fi 2. Provides a hotspot for other devices |
Power | DC 12V±25% input |
Touch screen | Size: 7-inch, Resolution: 600×1024 |
Camera | 2MP RGB+IR dual-camera |
Illumination | IR |
Dimensions (L×W×H) | 260.2mm × 110mm × 23.5mm |
Mount method | Standard metal wall mount, supports bare installation and 86-box installation |
Operating environment | -20°C to 60°C; <95%, non-condensing |
Protection Level | IP65 (Apply waterproof glue to the gap between the device and the wall. For more information, see the quick guide.) |
Application scenario | Indoor/outdoor |