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How Biometric face recognition is improving security

Author: huifan   Time: 2020-07-13

In the past few years, face recognition technology seems to be only the "standard" technology in fantasy movies. However, in recent years, because the relationship between technology and life has become closer and closer, multiple fields have achieved the success of the technology application. Moreover, the rapid development of the technology's commercialization process is additionally impressive. at the present , face recognition has become a sort of development trend and hot spot, and therefore the era of "face-swapping" has officially arrived.
Today, biometrics has changed the way we protect,
Among them, fingerprint recognition and other technologies are usually wont to access high-security areas, like those involving high-level agency security .
However, it's not currently the foremost popular biometric security method. As face recognition software becomes cheaper and accurate, face recognition security is becoming more and more popular. during this article, we'll study the way to use face recognition to enhance security and simplify business processes.
What is facial recognition?
Facial recognition may be a biometric software application which will identify an individual through its digital image. When face recognition is employed as a part of a biometric-based security system, individuals
Allows you to require several digital images or photos of yourself with different facial expressions and different angles.
For verification, the individual stands ahead of the camera for a couple of seconds then uses face recognition software to
The generated image is compared with the digital image previously saved during a given database.
Usually compare an individual's unique facial components, including lips size, facial bone shape, nose width, jaw bone length, orbit depth and distance between eyes, mouth, nose and general shape of the face consistent with location and facial bone, nose And orbit ratio.
For greater security, in order that masks can't be wont to deceive the system, individuals could also be required to smile, blink, or nod once they are verified, or they'll use a facial camera to live facial heat.
HFSecurity RA08T facial recognition attendance system
Face Identification Technology (Face Identification Technology) is predicated on human countenance , employing a camera or camera to gather images or video streams containing human faces, and automatically detect and track human faces within the image, then perform detection on the detected faces A series of related technologies for face recognition, also referred to as face recognition and portrait recognition. Face recognition technology usually includes three parts: face detection, face tracking, and face comparison.
The research of this technology began within the 1960s. With the event of technology and optical imaging technology, it had been promoted after the 1980s, and therefore the real entry into the first application stage was within the late 1990s, and was realized with the technology of the us , Germany, and Japan. Mainly. "Face recognition system" integrates a spread of professional technologies like AI , machine recognition, machine learning, model theory, expert system, video image processing, etc. At an equivalent time, it must combine the idea and implementation of intermediate value processing, which is that the latest application of biometric recognition the belief of its core technology shows the transformation of weak AI to strong AI .
Face recognition during a broad sense includes a series of related technologies for constructing face recognition systems, like face image acquisition, face location, face recognition preprocessing, identity confirmation, and identity search. The narrow sense of face recognition refers specifically to the technology or system of identity confirmation or identity search through the face. this text is predicated on the appliance research of the latter. Currently, face recognition, fingerprint recognition, iris recognition, gait recognition, voiceprint recognition, and DNA recognition are the six main biometric technologies. Compared with other biometric technologies, face recognition technology has the subsequent characteristics.
One is non-contact. Face recognition technology doesn't require direct contact with the device to get a face image, while most other biometric technologies require extraction through individual contact with the device. for instance , fingerprint recognition technology has high technical requirements for fingerprint extraction. whenever the orientation and focus of the fingerprint are different, the acquired fingerprint are going to be deformed to different degrees.
The second is unconsciousness. Face recognition technology doesn't require special cooperation with face collection equipment, and individuals can obtain face images in an unconscious state, while other biometric technologies require individual cooperation to finish the extraction of their biological characteristics. for instance , DNA recognition technology requires individuals to cooperate with the gathering of blood, saliva, etc. Once improperly coordinated, specimens will have excision sites, contamination of test materials, etc., affecting the accuracy of the results.
HFSecurity RA08T facial recognition government use  Device
The third is robust practicality. The face recognition system mainly recognizes the calculation results of the hairline, eyebrow arch, eyebrow shape, eye shape, nose shape, mouth shape, etc., and uses the screenshots or photos of the face to spot the similarity of the sample (face library) , Sorted by percentage from high to low, and may realize the sorting, judgment and recognition of multiple faces. an equivalent non-contact voiceprint recognition technology is greatly disturbed by the environment, showing variability in multiple environments, and therefore the practical effect isn't strong. The fourth is cost-effective. the value of face recognition, the efficiency of comparison and therefore the uniqueness of life characteristics are compared horizontally. Although the iris recognition technology has high accuracy and uniqueness, it's high collection cost and low recognition efficiency, which isn't suitable for large-scale promotion and application.
It is safe to make sure that the building is shielded from unauthorized entry. you would like to put in appropriate security measures to regulate who enters and exits the building. Biometric face recognition is a complicated and effective tool that gives excellent control and security for your building. The system uses the "face matching" function to accurately identify a selected person by scanning an individual's countenance . If the person matches the image recorded within the database, access rights are going to be granted. this enables legitimate personnel to enter quickly and simply without providing personal details.
Facial recognition is additionally reliable because access cards and keys are often copied, borrowed or stolen, but one cannot change his face. Even better, you'll add stricter control measures by restricting which floors and rooms an individual can enter.
In addition, this technology allows you to take care of a blacklist. this is often an inventory of individuals who are prohibited from entering the building. If the system detects such personnel, it'll immediately alert the safety personnel.
Bank face recognition and security
With more and more security challenges, banks and financial institutions are now incorporating biometric security technology into their platforms. Biometric security systems will currently replace PINs and password protection methods that are easy to forge. face recognition is that the first choice within the financial sector because it are often used to:
Face login: Customers can use face recognition to access their accounts. this may also show that the impostor is trying to access your account.
Anti-fraud: The system’s algorithms enable you to perform logical analysis and collect information from the image database, and help identify fraudsters just a couple of steps faraway from the bank.
The technology also can help protect vaults and safe deposit boxes from robbery.
Simplify the KYC process and improve compliance.
Face recognition technology in smart city application case analysis
Face recognition technology has been deployed in smart city applications and promoted a spread of product forms and solution implants. People are the most body of society, and therefore the essence of all services returns to the service to people. What face recognition must solve is additionally to satisfy people's needs, avoid people's risks, and solve people's problems. The technology gradually matures, especially the technological breakthrough brought by deep learning technology, which makes the face recognition technology reach the applicable lower limit level, and there are many face recognition related products and systems. Although there are many sorts of face products, regardless of how complicated the business applications are, they're inseparable. Customers use face recognition technology to realize the aim of verifying the identity of the person or recognizing the identity of the person.
For example, face real-time alarm . Apply face detection and recognition technology to line up face bayonet cameras in key areas for personnel entry and exit. Face capture, recognition and automatic alarm for people passing through the bayonet, and therefore the alarm information are often pushed to the police terminal APP to understand the particular combat plan Linkage. The face bayonet system are often deployed independently, or are often used as a subsystem to attach to a third-party management platform. It are often widely utilized in peace , transportation, finance, justice, education, hospitals and other fields. Functional aspects:
Face collection: It are often connected to the network high-definition camera, and may capture one or more clear face pictures of the face appearing within the real-time video screen of the camera and may intercept the background photos like the captured face.
Face storage: The captured face pictures are often stored for an extended time. Since the space occupied by face pictures is far smaller than that of video files, under limited space for storing , face pictures are often stored for a way longer time than videos.
Face control: support face control of the past personnel of the bayonet. Distribute the face image and knowledge of the control to the designated face mount for control. Once a face highly almost like the control library appears within the camera, the system can recognize it in real time and upload the face image and therefore the recognition result center.
Mobile APP: Face control alarm are often pushed to mobile terminal devices.
Such as face collection and retrieval system. Face detection and recognition technology is employed to line up face mount cameras in key areas for personnel entry and exit. Face capture, modeling and post-experiment face query and retrieval techniques and other methods for face pass personnel are often wont to realize face criminal investigation 1. In-depth application of technical investigation. The face collection and retrieval system are often deployed independently or as a subsystem connected to a third-party management platform. It are often widely utilized in peace , transportation, finance, justice, education, hospitals and other fields. Functional aspects:
Face collection: It are often connected to the network high-definition camera, and may capture one or more clear face pictures of the face appearing within the real-time video screen of the camera and may intercept the background photos like the captured face.
HFSecurity free facial recognition software
Face storage: The captured face pictures are often stored for an extended time. Since the space occupied by face pictures is far smaller than that of video files, under limited space for storing , face pictures are often stored for a way longer time than videos.
Facial Skills and Warfare: The system provides a spread of face query and retrieval techniques, such as: frequency of personnel, peer analysis, peer analysis, etc.
Characteristic face techniques: for characteristic faces or abnormal faces, like wearing glasses and hats, provide face query and retrieval which will achieve specific characteristics supported the characteristics or abnormal characteristics of the faces.
For example, portrait library sharing service platform. The portrait database sharing service platform may be a set of portrait retrieval system specifically for population management and case investigation publicly security and other industries. The system also has powerful data import, batch modeling, query retrieval, statistical analysis and other functions. Provide rapid positioning personnel for peace exit and entry, household affairs, criminal investigation and other departments to enhance the efficiency of criminal investigation and visual inspection. At an equivalent time, it can dock with peace intelligence and police comprehensive systems to play a task publicly security pursuit, investigation, and tracing. The portrait library sharing service platform are often independently deployed or are often docked with third-party systems to supply portrait recognition sharing services. Functional aspects:
Personnel information database data docking: The system features a special data interface for the connection of personnel information data with the general public security resident information database and key personnel information database. While ensuring the safety of peace data, it can quickly extract face data.
Face feature extraction: The face feature value may be a key factor that determines the accuracy of face recognition, and also an element that affects the speed of face retrieval. supported the deep learning neural network algorithm, the system performs facial feature extraction, and stores the structured feature data of the face during a facial feature database for facial retrieval.
Face comparison and retrieval: The system can provide 1:1 face comparison and 1:N face retrieval functions. Support multiple concurrent retrieval tasks, when the amount of tasks exceeds the upper limit, the system queues up.
Portrait recheck: to realize single portrait retrieval or batch portrait retrieval.
In conclusion
Facial recognition is one among the foremost popular biometric technologies for iris and fingerprint scanning. the appliance of biological face recognition technology is additionally increasing, and has entered many industries. Because it's safer , functional, reliable, and efficient, its dominant position will still grow until each industry adopts this innovative technology.
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