With the increasing use of IoT applications, biometrics has ushered in an opportunity to show its talents – it's easy to understand that in the era of Internet of Everything, the importance of data security is self-evident, and the market needs a more reliable interaction with machines. The way biometric technology can take on this responsibility.
Biometric technology refers to the way in which personal identities are determined using human physiological characteristics (such as fingerprints, faces and irises) or behavioral characteristics (such as sounds and handwriting). Compared with traditional methods of identification, biometrics have advantages in terms of security, confidentiality and convenience.
From the perspective of recognition methods, biometric recognition can be divided into fingerprint recognition, face recognition, voice recognition, iris recognition and vein recognition. Among them, fingerprint recognition applications have been extensive, and face recognition applications are emerging. These two recognition technologies are the most widely known.
In recent years, many hardware manufacturers have promoted fingerprints and face recognition as “black technology†in order to increase product selling points. However, in the industry's view, the field of biometrics can exist as a "black technology" and should be an iris recognition technology.
Fingerprint and face recognition have “瑕疵â€, and iris recognition is “black technologyâ€.
The fingerprint is the texture created by the unevenness on the front surface of the human finger. The fingerprint details of each person (the starting point, the end point, the joint point and the bifurcation point) are not exactly the same. Therefore, the fingerprint can be used for identification.
â–² Each person's fingerprint details are different (Source:pixabay)
Due to the low technical threshold, fingerprint recognition has been applied first. In many scenes such as attendance, mobile phone unlocking, safe unlocking, and access control, fingerprint recognition is available.
However, this technology still has some inconveniences. For example, it requires high cleanliness and dryness of fingers, and factors such as dirty, wet and oil will interfere with machine identification. When fingerprint verification is performed, factors such as different finger print angles and different strengths will affect the recognition result.
In addition, each time the fingerprint is used, the fingerprint of the user will be left on the fingerprint collector, and the fingerprint of the user may be copied, and the security is greatly reduced.
Thus, the application of face recognition technology without direct contact with the machine has arisen.
There are three steps in the working principle of face recognition. The first is to create a facial file of the face. The staff member is responsible for collecting the face image of the relevant user, or forming a facial file of the user's photo and storing it in the facial file.
Second, use the camera to capture the current human face.
Finally, the captured portraits are compared to those in the facial file. This process uses the "face code" approach to accurately identify a person among a million people.
Compared with fingerprint recognition, face recognition has the advantage of no contact, non-mandatory and concurrency (that is, a scene can be used for sorting and recognizing multiple faces), which is a good side.
The bad side is that face recognition is sensitive to the scene light environment. In addition, the current face recognition technology mainly uses the plane 2D to collect the face and the relative position of the facial features to identify it. It has the possibility of deceiving the machine in the form of a photo.
Based on fingerprint recognition and face recognition, iris recognition began as the “Ultimate BOSSâ€.
Iris recognition is based on the iris in the eye (the ring-shaped part between the black pupil and the white sclera). It is recognized as the most accurate and safe biometric technology in the industry. The industry has revealed that the iris recognition error rate can be As low as one in a million, the fingerprint recognition error rate is 0.8%, and face recognition is 2%.
In addition, the iris recognition technology requires the iris information of the living body. After the eyeball is peeled off from the human body, the iris will lose its activity with the pupil and will be rejected by the machine. Therefore, the iris recognition is safer.
We make OBD connector with terminal by ourselves, soldering type and crimping type are both available. Also 12V and 24V type. OBD1, OB2, J1939, J1708, J1962, etc. Also molded by different type, straight type or right-angle type. The OBD connector cables used for Audi, Honda, Toyota, BWM, etc. We have wide range of materials source , also we can support customers to make a customized one to replace the original ones.
Vehicle Diagnostic Cables,Diagnostic OBD Cable,Heavy Vehicle Diagnostic Cables,OBD2 Splitter Y Cables,OBD2 Diagnostic Adapters,OBD Heavy Vehicle Cables
ETOP WIREHARNESS LIMITED , http://www.oemwireharness.com