With the increasing use of IoT applications, biometrics has ushered in the opportunity to show their 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 biometrics 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 extremely 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, end point, joint point and bifurcation point of the texture) are not exactly the same. Therefore, the fingerprint can be used for identification.
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 face file of the face. The staff is responsible for collecting the face image of the relevant user, or forming the face image of the user's photo and storing it in the face file.
Second, use the camera to capture the current face of the human body.
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 sorted and identified by 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 photos.
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 misrecognition 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.
Two major application trends, the black technology of iris recognition can be more than just unlocking
Earlier, iris recognition was mainly used in industrial fields, such as coal industry attendance, and few molded products appeared in the personal consumer market, so iris recognition technology is not well known.
The good news is that in recent years, iris recognition has developed towards remote identification and mobility. Under this trend, iris recognition technology has ushered in an opportunity to enter the popular field.
According to media reports, Carnegie Mellon University Biometrics Center has developed an iris scanning recognition technology that recognizes distances up to 12 meters. It can quickly read the owner's iris information when the owner's eyes inadvertently sweep the car's rearview mirror. Match the iris information to the database to display the owner's name and other information.
This "black technology" can help the police track down fugitives, and can also take on the responsibility of security at airports and tourist sites.
A 24V Dc Motor Consistency is good, reliable performance, low malfunction, torque, motor no-load and load running more smoothly and the lowest in 50 decibels
Functions: 24V dc motor rotor part of the armature iron core, armature, commutator and other devices, 24V dc motor is suitable for most of the electronic products, such as Electric curtains, car, sweeping robot, no hakaze fan, etc
Areas of application:
Method of use: the best stable in horizontal plane, installed on the 24V dc motor output shaft parts, cannot use a hammer to knock, knock prone to press into the 24V dc motor drive, may cause damage to internal components, and cannot be used in the case of blocked.
Operating temperature range:
24V dc motor should be used at a temperature of -10~60℃.
The figures stated in the catalog specifications are based on use at ordinary room temperature catalog specifications re based on use at ordinary room temperature (approximately20~25℃.
If a 24V dc motor is used outside the prescribed temperature range,the grease on the gearhead area will become unable to function normally and the motor will become unable to start.Depending on the temperature conditions ,it may be possible to deal with them by changing the grease of the motor's parts.Please feel free to consult with us about this.
Storage temperature range:
24V dc motor should be stored ta a temperature of -15~65℃.
In case of storage outside this range,the grease on the gearhead area will become unable to function normally and the motor will become unable to start.
Service life:
The longevity of geared motors is greatly affected by the load conditions , the mode of operation,the environment of use ,etc.Therefore,it is necessary to check the conditions under which the product will actually be used .The following conditions will have a negative effect on longevity.Please consult with us should any of them apply.
â—Use with a load that exceeds the rated torque
â—Frequent starting
â—Momentary reversals of turning direction
â—Impact loads
â—Long-term continuous operation
â—Forced turning using the output shaft
â—Use in which the permitted overhang load or the permitted thrust load is exceeded
â—A pulse drive ,e.g.,a short break,counter electromotive force,PWM control
â—Use of a voltage that is nonstandard as regards the rated voltage
â—Use outside the prescribed temperature or relative-humidity range,or in a special environment.
â—Please consult with us about these or any other conditions of use that may apply,so that we can be sure that you select the most appropriate model.
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