Application of Face Recognition in Time Attendance and Access Control System
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1. Face recognition technology
Face recognition is based on the facial features of a person, and the input face image or video stream is first judged whether there is a face, if there is a face, then the position, size and main points of each face are further given. Location information of facial organs. And based on this information, further extract the identity features contained in each face, and compare them with known faces, so as to identify the identity of each face.
Second, the algorithm of face recognition
A regional feature analysis algorithm widely used in face recognition technology, which combines computer image processing technology with the principles of biostatistics. It uses computer image processing technology to extract facial feature points from videos and analyzes using the principles of biostatistics. Establish a mathematical model, that is, a facial feature template. Use the established face feature template and the face of the subject to perform feature analysis, and give a similar value based on the analysis result. This value can be used to determine whether it is the same person.
3. The main functional modules of face recognition
1. Face capture and tracking function:
Face capture refers to detecting a portrait in an image or a frame of a video stream, separating the portrait from the background, and automatically saving it. Portrait tracking refers to the use of portrait capture technology to automatically track a designated portrait when it moves within the range captured by the camera.
2. Face recognition comparison:
Face recognition has two comparison modes: verification and search. Verification is to compare the captured portrait or designated portrait with a registered object in the database to verify whether it is the same person. Search-style comparison refers to searching for the existence of the designated portrait from all the portraits registered in the database.
3. Modeling and retrieval of human faces:
The portrait data registered in the database can be modeled to extract the features of the face, and the generated face template (face feature file) can be saved in the database. When performing face search (search style), model the specified portrait, and then compare it with the template of all people in the database for recognition, and finally list the most similar people based on the compared similarity value List.
4. Real person identification function:
The system can identify whether the person in front of the camera is a real person or a picture. In order to prevent users from using photos to falsify. This technology requires the user to perform facial expressions in coordination.
5. Image quality inspection:
The image quality directly affects the recognition effect. The image quality detection function can evaluate the image quality of the photos to be compared, and give corresponding suggested values to assist the recognition.
Fourth, the advantages of face recognition
The advantage of face recognition lies in its naturalness and the characteristic of being undetected by the tested individual.
The so-called naturalness means that the identification method is the same as the biological characteristics used by humans (or even other creatures) for individual identification. For example, face recognition, human beings also distinguish and confirm identities through observation and comparison of faces. In addition, natural recognition includes voice recognition, body shape recognition, etc., while fingerprint recognition and iris recognition are not natural, because humans or other Biology does not distinguish individuals by such biological characteristics.
The feature of being undetected is also very important for an identification method, which makes the identification method not objectionable, and because it is not easy to attract people’s attention, it is not easy to be deceived. Face recognition has this feature. It completely uses visible light to obtain facial image information. Unlike fingerprint recognition or iris recognition, it needs to use an electronic pressure sensor to collect fingerprints, or use infrared to collect iris images. These special collection methods are easy Being noticed by others makes it more likely to be disguised and deceived.
5. Application products of face recognition in access control and attendance systems
With the official use of the face recognition comparison system of China’s independent intellectual property rights at the opening ceremony of the Beijing 2008 Olympic Games, face recognition technology has received widespread attention in China. And it can be promoted in application fields such as access control and time attendance. The following are face recognition time attendance and face recognition access control products launched by a domestic company.
The face attendance machine series products are the world’s first embedded “dual camera” face recognition product, which uses the latest “Dual Sensor? V2.0” face recognition algorithm, and applies embedded high-speed digital signal processing technology , The recognition speed is fast, the accuracy rate is high, and it is not affected by the ambient light; it uses TFT color screen display, voice report name, specifically designed for the access control management and attendance management of the majority of enterprises and institutions, safe, convenient and fast.
1. Unique positioning method for key areas of the face, with high positioning accuracy and high recognition rate;
2. The face recognition algorithm has a self-learning function, which can effectively solve the problem of slow changes in the face over time;
3. The use of dedicated dual cameras is a quasi-three-dimensional face recognition technology, the recognition performance greatly exceeds that of two-dimensional face recognition, the algorithm complexity is much lower than that of three-dimensional face recognition, and the technical advantages are obvious;
4. The recognition performance is not affected by the ambient light, and can be recognized in the dark to meet various user needs and use environments;
1) Color screen display, automatic capture
3.5-inch TFT color screen display, automatic face capture.
2) Voice report name
After the recognition is successful, the Chinese name will be automatically broadcast.
3) Touch keyboard
It adopts the latest touch technology and is fashionable.
4) Face recognition algorithm
Using Dual Sensor TM V2.0 face recognition algorithm, the recognition is more accurate.
5) U disk download
Upload user name list, download attendance records and photos via U disk.
6) TCP/IP network communication
Set the device status via TCP/IP network, and upload and download information.
7) Photo tracing, good security
Regardless of the success or failure of face recognition, there is a photo record that can be traced, and the security is good.
8) Swipe card + face recognition
Supports swiping the card first, then face comparison.
9) Time Attendance Software
Support various shift settings, including complex shifts, and directly output various attendance reports. Five years of market sales inspection, powerful, mature and stable.
10) Large capacity SD card
1GB SD card to store all photo records
technical parameter
Specifications:
· User capacity: 600 people (1500 people in cabinet type)
· Recording capacity: 200,000 records (unlimited in cabinet type)
· Photo capacity: 70,000 pieces (unlimited in cabinet type)
Security capacity: 1GB
· Recognition algorithm: Dual Sensor V2.0
Camera head: dedicated dual camera head
Verification method: face recognition, swipe card + face recognition
· Verification speed: less than 1 second (600 users)
· Misrecognition rate: less than 0.001%
Rejection rate: less than 1%
Cabinet face recognition attendance machine, face recognition access control machine:
· User capacity: 1500 people
· Recording capacity: unlimited
· Photo capacity: unlimited
· Recognition algorithm: Dual Sensor TM V2.0
· Camera: dedicated dual camera
· Verification method: face recognition
· Verification speed: <1 second (1500 users)
· Touch screen: full touch screen operation, handwriting recognition
· LCD: 10.4-inch industrial color screen, true color,
800*600 resolution
· TTS: Speech synthesis report name
· Attendance communication: standard TCP/IP, networked attendance
· Access control output: switch signal
· Power supply: 220V AC
· Ambient light: 0－50000 Lux
· Operating distance: 30-100 cm
· Operating temperature: 0℃－45℃
· Operating humidity: 20%-80%
· Size: 1150*350* 350mm
· Installation method: floor-standing
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