What are the core technologies of Yanlang face locks that cannot be compared with fingerprint locks?

Fingerprint recognition, speech recognition, face recognition, palm veins, finger veins, iris recognition... In recent years, with the continuous expansion of the smart home market, various kinds of smart door locks born under market demand have been considered to be varied, applying technologies such as these The smart locks are numerous and have their own advantages. With the continuous maturity of the smart phone terminal market recognition technology, face recognition technology has begun to enter the eyes of users, in the security access control, smart home market shine.

Fingerprint recognition will drop to about 52% by 2020; while voice recognition, face recognition, and iris recognition will grow rapidly. The proportions in 2020 are expected to reach 22.4%, 9.6%, and 6.4% respectively.

To this end, today Xiaobian uses the distinction between fingerprint lock and face recognition lock to tell everyone how to choose?

Basic definition of fingerprint lock and face recognition lock

As the name suggests, fingerprint locks rely on fingerprints for identification and identification to open the door. We can verify its true identity by comparing his fingerprints with pre-saved fingerprint data.

Face recognition lock is to identify faces by analyzing and comparing computer technologies to verify and open the door. For the input face image, the identity features contained in each face are extracted and compared with the known face, thus Identify the identity of each face and open the door for verification.

From the definition we can see that the two main unlocking methods are fingerprints and human faces. Of course, this is the main method of unlocking. Whether it is a fingerprint lock or a face lock, it can also include: password, credit card, mobile phone APP and so on.

The core technology principle

Fingerprint lock core technology - the principle of fingerprint recognition is based on each person's skin texture in the pattern, breakpoints and intersections vary, showing uniqueness and life-long change, relying on this uniqueness and stability, We can identify the identity of the operator. Collecting objects mainly includes the general features visible to the naked eye, such as stripes, pattern regions, core points, triangle points, and patterns, and local feature nodes.

The core technology of Yan Lang's face recognition lock consists of four components: Face Image Acquisition and Detection, Face Image Preprocessing, Face Image Feature Extraction, and Matching and Recognition.

First, it is judged whether or not there is a human face. If there is a human face, the position and size of each face and the position information of each major facial organ are further given. Based on this information, the identity features contained in each human face are further extracted and compared with known faces to identify the identity of each face.

The core of Lang Lang's face recognition technology is “local human body feature analysis” and “graphic/neural recognition algorithm.” This algorithm is a method that uses various parts of the human body's face and features. For example, the corresponding data of multiple geometric identifications and the original parameters in the database are compared, judged and confirmed. The general requirement is to judge that the time is less than 1 second.

Comparison of advantages and disadvantages of recognition technology

At present, the smart fingerprint lock acquisition technology has a long history, mature technology, smart fingerprint lock acquisition machine is small, cost-effective, easy and fast to scan. However, the disadvantages are obvious. Some people or some groups have few fingerprint features and are difficult to image. As the fingerprints of elderly people and children in the home are not clear, it will affect the experience. In addition, each time a fingerprint is used, the user's fingerprint imprint is left on the fingerprint collection head, and these fingerprint traces may be used to copy the fingerprint.

There are four kinds of core techniques in the face recognition algorithm of Langlang: face recognition algorithm based on feature points, recognition algorithm based on the whole face image, recognition algorithm based on template, and algorithm using neural network recognition. Which Yan Lang based on the original face recognition algorithm, the accuracy rate has reached 98.52%, for the first time beyond the ability of human eye recognition (97.53%).

For many people worry about the theft of photo and video, the technically perfect Long Lang face recognition technology can also be well eliminated. The real-life identification function system can identify whether the person in front of the camera is a real person or a photo. This technology The user is required to cooperate with the facial expression.

The emergence of every technology will experience the test of the market. Ian Lang was born in 1998 and has always been a pioneer and leader in the field of fingerprint locks. In 2013, she saw the trend of smart locks and established a professional team to focus on the face recognition locks. The research, this technology has won the national patent certification, and now, Lang Lang face recognition lock has been exported to more than 30 countries around the world, becoming a professional supplier of face recognition products and solutions.

The biological living technology applied by Yan Lang's face recognition lock can not only prevent photo and video attacks, but also accurately identify twins. The infrared light can still identify open doors in the dark and eliminate hidden dangers.

Before face recognition became a trend, Ian Long had already prepared everything.