
Dorma Style Five Gear Switch Auto Sliding Doors with Clip Prevention Function
This human figure recognition smart door sensor, as a AI human figure intelligent detection is suitable for all kinds of automatic doors as motion sensor, or safety presence sensor.
Product Introduction
We are a manufacturer with complete coverage of intelligent door controller, smart switch for automatic electric gate, Embedded Mini Motion Detector for Sliding Door on the market and have received a excellent reputation for the quality of product. Never being satisfied, constantly putting forward new requirements to ourselves, and constantly pursuing high goals are our driving force for progress and development. Our company has significantly improved its market position overseas and further strengthened its strategic partnership. We follow the market law to continuously and steadily promote reform and establish a sound institutional mechanism that meets the requirements of the market economy. Facing the new historical development period, our company will continue to provide users with more and better products and services, and continue to meet the needs of users. We sincerely welcome new and old customers at home and abroad to come, negotiate, guide and develop together.
Smart Sensor

This human figure recognition smart door sensor, as a AI human figure intelligent detection is suitable for all kinds of automatic doors as motion sensor, or safety presence sensor.
Product Specification
Main processor | INGENIC T31N |
Main frequency | 1.5GHz |
Detection mode | Moving + human figure detection (Dual mode) |
Pixel | HD 720P 1296*732 |
Response speed | 50ms |
Monitor storage | TF card in FAT32 format, maximum 128GB memory |
View adjustment | 0-90° (expose installation) 0-45°(embedded installation) |
Network distance | 10-30 meters (depending on the strength of Wi-Fi on site) |
Detection function | motion, presence, remote control, monitoring, period function switching |
Signal output | Relay ON, CN |
Power supply | AC/DC 12-36V |
Standby consumption | 60mA ± 30mA |
Installation methods | Expose or embedded installation on the door head, wall, and ceiling |
External dimension | 86.3x69x79.5mm(expose) 129.6x82x70.7mm(embedded) |
Installation height | About 6 meters |
Dimension

External dimension: 86.3x69x79.5mm(expose)
129.6x82x70.7mm(embedded)
Concealed installation: hole ø≥75mm, depth≥55mm
Screw holes pitch=106mm
Expose installation: screw holes pitch=56mm
Features
1, Adopt advanced Convolutional Neural Network, to detect and recognize the human figure, can avoid interference from strong light, vibration, flying insects, floating leaves, etc.
2, Use the video stream image acquisition technology, on the basis of ensure a certain angle of view, the sensing detection of ultra-high door can be realized, and the maximum installation height can be 6 meters.
3, It supports inserting an SD card and expanding the memory to 128G to realize all-day video monitoring; and it is convenient for users to upgrade the system without changing the hardware.
4, With single axis eagle eyes design, flexibly to adjust the view angles, and the detecting areas.
5, After power on, it will automatically enter the AI human figure detection and recognition mode, without background learning.
6, Built-in microphone, real-time simultaneous monitoring.

Packaging & Transportation

Usually, each product will be packed in 3 layers, a transparent plastic bag, an inner box, and an outer box. And it will be quality tested before packaging.

The delivery method supports express, air, and sea transportation, which is fast and safe delivery.
Our company in order to seize market opportunities, enhance their competitiveness, and constantly create new Dorma Style Five Gear Switch Auto Sliding Doors with Clip Prevention Function. We take the innovation of talent work mechanism as the driving force and optimize the structure of talent team as the main line. We aim to improve the overall value of our company, to be innovative, to treat each other with sincerity, and to respond quickly to customer needs.
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