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Facing the Epidemic Head-On | Xinshi’s Facial Recognition Elevator Call Solution
2020-03-17

Scene schematic
Background Introduction
With the advancement of artificial intelligence technology, facial recognition has already been applied in scenarios such as access control and turnstiles. In contactless elevator usage scenarios, facial-recognition-based elevator call systems—representing a novel approach to elevator access control—have attracted widespread attention from users. Leveraging its own strengths in control systems, STEP has conducted in-depth research into facial-recognition-based elevator call technology and explored its application scenarios more thoroughly. Following a series of product validation tests, a facial-recognition-based elevator call solution with distinctive STEP features has now emerged.

System block diagram
Scheme Features
1. Install a facial recognition all-in-one device at an appropriate location inside the elevator car, which communicates with the system to enable permission-based elevator calls.
2. Supports dynamic anti-counterfeiting, effectively filtering out deceptive methods such as static photos;
3. Possesses excellent nighttime recognition performance;
4. Supports both LAN and cloud deployment modes;
5. Supports the storage of massive amounts of local facial photos and recognition record information;
6. Possess a rapid identification and response mechanism for quickly registering the destination floor.
7. Supports stranger detection and can capture and save on-site photos;
8. It can obtain elevator malfunction information; in cloud-deployed mode, it can capture facial data to detect and alert on trapped-person incidents, thereby supporting emergency rescue efforts.
9. This solution can be integrated with the smartphone-based elevator call system to achieve complementary advantages.
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market@stepelectric.com
Address:
No. 1560, Siyi Road, Jiading District, Shanghai Municipality
Contact Information
Hotline: 400-820-7921
Email: market@stepelectric.com
Address: No. 1560, Siyi Road, Jiading District, Shanghai