8 Inch Biometric Facial Recognition System Face Reader Attendance Machine 2GB RAM

8 Inch Smart Lock Sensor Intelligent Face Recognition Terminal Door Lock Access Control With Time Attendance Management

A face recognition machine, also known as a facial recognition machine or facial recognition system, is a technology that analyzes and identifies individuals based on their facial features. It utilizes algorithms and advanced computer vision techniques to detect, capture, and analyze patterns within images or video frames of human faces. The primary purpose of a face recognition machine is to verify or identify an individual's identity by comparing their facial characteristics with pre-existing data in a database.

A face recognition turnstile is a type of access control system that combines a turnstile (a mechanical barrier that allows or restricts passage) with facial recognition technology. It uses face recognition algorithms and sensors to verify the identity of individuals attempting to pass through the turnstile.

Here's how a face recognition turnstile typically works:

1. Face Enrollment: Before using a face recognition turnstile, individuals need to enroll their faces into the system. This involves capturing images or video footage of their faces using specialized cameras or sensors. The system then extracts and stores facial features and creates a unique template for future comparisons.

2. Approach and Detection: When an individual approaches the turnstile, the face recognition system uses sensors or cameras to detect their presence. It activates the facial recognition functionality and prompts the person to position themselves within a designated capture zone.

3. Face Recognition and Verification: The captured image or video frame is analyzed by the face recognition algorithms to extract facial features and compare them with the enrolled templates stored in the system's database. The system calculates the similarity between the captured face and the stored templates to determine if there is a match.

4. Decision and Access Control: Based on the matching results, the face recognition turnstile makes a decision whether to grant or deny access to the individual. If a match is found and the person is authorized, the turnstile will unlock, allowing passage. In the case of a non-match or unauthorized access attempt, the turnstile remains locked, preventing entry.

5. Logging and Analytics: Face recognition turnstiles often have logging and analytics capabilities. They can record data related to each access attempt, including timestamps, captured images, and verification results. This information can be used for attendance tracking, security monitoring, or generating reports.

Face recognition turnstiles provide several advantages over traditional turnstiles or access control systems:

1. Increased Security: By integrating facial recognition technology, these turnstiles enhance security by ensuring that only authorized individuals can access a specific area or facility.

2. Contactless and Convenient: With face recognition, individuals do not need to present physical credentials (such as ID cards or key fobs) to gain access. It offers a contactless and convenient method of authentication.

3. Fast and Efficient: Face recognition turnstiles can process identification rapidly, allowing for smooth traffic flow and reducing wait times during entry or exit.

4. Integration Capabilities: They can be integrated with other security systems, such as video surveillance cameras and alarms, for comprehensive access control and monitoring.

Product characteristics
1. Support camera capture and face activation device;
2. Adopt the dynamic face detection and tracking recognition algorithm based on video stream;
3. Support device local storage of 10000 face library;
4. When the face database is 3000, the recognition accuracy of 1:n is 99.7% under the condition of error rate of 3/10000;
5. Fast identification speed:
(a) Face tracking and detection takes about 20ms
(b) Face feature extraction takes about 200ms
(c) Face comparison time is 0.2ms (1000 people database, multiple recognition is averaged), 0.5ms (10,000 people database,
multiple recognition is averaged);
6. Binocular camera with infrared supplementary light;
7. Support the saving of on-site photos during face recognition or stranger detection;
8. support HTTP interface docking;
9. Support the use and deployment of public network and LAN;
10. Support stranger identification comparison function;
11. Support human body temperature detection and human body temperature measurement under indoor conditions;
12. Support external QR code;
Cautions: The temperature is between 0 ℃ and 35 ℃. This product is not used as a medical device.