Description
OET-525H
- 2MP Face Access Control Reader Outdoor
- Industrial grade, high stability, high-end luxury appearance
- Deep learning algorithm model based on UNV independent intellectual property rights,
- face recognition accuracy rate > 99%, false rate < 1%
- Built-in deep learning dedicated chip, supports local offline recognition, 20,000 face
- capacity, face white list (1∶ N)
- Fastest recognition time 0.2 seconds, various model merge mode are used to reduce
- false rate and increase pass rate
- Built-in 16G EMMC front end storage, stable and reliable, up to 100.000 event capacity
- 2MP low illumination wide-angle camera, WDR and F1.6 large aperture lens for
- capturing high quality image with various complex lighting scenes
- Built-in mic and speaker for ensuring audio input and output
- Suggested height for face recognition: between 0.8m and 2.2m
- Face recognition distance: 0.5m to 1.5m
- Support live detection based on deep learning algorithm, effective against fraud such as photo and video
- Support face metering and human metering for fast adapting to ambient light
- Support screen sleep mode, keep the minimum brightness to prevent glare at night
- Support adding up to 6 photos per person of the bottom library, greatly improve face
recognition speed and pass rate - Support video capture, support ONVIF
- Dual network ports in series, reuse original network, support escape when power outage
- Support face authentication, password authentication to control door open
- Two-way audio with indoor monitor
- Support direct control door lock, exit button, door contact detection to implement access
control management - Support tamper protection, door open timeout and time exceed alarm function to keep
door opening during fire alarm active
Data sheet:
