Application advantages of face recognition gate system - Innovation Communication

Face recognition system has unique advantages in application:
1. Face recognition is easy to use and has high user acceptance. Face recognition technology uses a general camera as a recognition information acquisition device to complete the recognition process in a non-contact manner without the recognition object noticing.
2. Outstanding intuitiveness. The basis used by face recognition technology is the facial image of a person, and the face is undoubtedly the most intuitive information source that the naked eye can judge, which is convenient for manual confirmation and auditing, and "judging people by appearance" conforms to the cognitive law of people.
3. High recognition accuracy and fast speed. Compared with other biometric recognition technologies, the recognition accuracy of face recognition technology is at a higher level, and the false recognition rate and rejection rate are lower.
4. Not easy to counterfeit. In applications with high security requirements, face recognition technology requires that the recognition object must be present at the recognition site, and it is difficult for others to counterfeit. The unique
activity discrimination ability of face recognition technology ensures that others cannot deceive the recognition system with inactive photos, puppets, and wax figures. This is difficult to do with biometric recognition technologies such as fingerprints. For example, the identity of a legitimate user can be counterfeited by using the severed finger of a legitimate user, making it impossible for the recognition system to detect.
5. Use universal equipment. The equipment used by face recognition technology is general PC, camera and other conventional equipment. Since computers, closed-circuit television monitoring systems, etc. have been widely used, most users do not need to purchase a large number of special equipment to use face recognition technology, which not only protects the user's original investment but also expands the functions of the user's existing equipment and meets the user's security needs.
6. Basic information is easy to obtain. The basis of face recognition technology is face photos or real-time face images, so it is undoubtedly the easiest to obtain.
7. Low cost and easy to promote and use. Since face recognition technology uses conventional general equipment, the price is within the acceptable range for general users. Compared with other biometric technologies, face recognition products have a high performance-price ratio.
In general, face recognition technology is a high-precision, easy-to-use, high-stability, difficult to counterfeit, and cost-effective biometric recognition technology with extremely broad market application prospects.

Three key technologies of face recognition system

Face recognition is a biometric technology that uses facial feature information to identify people. Use a camera or video camera to collect images or videos containing faces, automatically detect image information and track faces, and perform a series of face-related analysis technologies on the detected faces.
Face detection refers to extracting the face image of interest from a complex background. Factors such as facial hair, cosmetics, lighting, noise, face tilt and size changes, and various occlusions will make the face detection problem more complicated. The main purpose of face recognition technology is to find specific face areas on the entire input image, so as to prepare for subsequent face recognition.
Three key technologies of face recognition:
1. Feature-based face detection technology: Face detection is performed by using color, contour, texture, structure or histogram features.
2. Template matching-based face detection technology: Extract face templates from the database, and then adopt certain template matching strategies to match the captured face image with the image extracted from the template library. The face size and location information are determined by the level of correlation and the size of the matched template.
3. Statistical face detection technology: Through the collection of a large number of "face" and "non-face" images to form a positive and negative sample library of faces, the system is strengthened and trained by statistical methods, so as to detect and classify the patterns of faces and non-faces.

Application of face recognition gate

Smart office

As smart buildings become a hot topic in the industry, smart offices are also heating up. With the rapid development of Internet technology, the networking of smart office systems has become an inevitable trend. Smart office uses recognition systems such as face recognition cloud platform software, face device mobile terminals, face recognition visitor management systems, face recognition access control and attendance systems, office control systems, and face recognition employee recognition systems to achieve smart office and smart management, and professionally create a more scientific space and humanized environment, thereby improving office efficiency and quality, improving office conditions, reducing labor intensity, and realizing scientific management and decision-making, thereby reducing working time and improving work efficiency.

Housing and construction direction-site safety intelligence

Unlike ordinary industries, construction sites have many requirements and restrictions on the application technology of identity recognition. First, there are many workers on the construction site, and the personnel are complex, so it is impossible to ensure the safe custody of equipment and materials on the construction site; secondly, the construction site tower cranes and special types of work must be operated by dedicated personnel. If non-professionals operate, accidents are likely to occur; in addition, since the workers on the construction site need to repeat a lot of heavy physical labor with their hands, their fingerprints are very worn, their hands are often easily dirty, and the cards are easily lost and stolen. Therefore, the application of face recognition technology, face recognition gates can not only implement orderly management of construction site workers, but also effectively prevent and curb theft and other security issues.

"Swipe your face" to enter the door, "swipe your face" to go to work, face recognition technology is no longer limited to simple applications in the attendance and access control industries, but is more used to explore new applications that transform passive security into active security. The above-mentioned applications are only part of the new applications of existing face recognition gates. In this era of "looking at faces", face recognition technology will attract more and more attention, and its application will become more and more extensive.