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Face recognition based on video stream
Face recognition based on video stream
Face recognition based on video stream
First, the background of face recognition technology based on video stream
Face recognition technology is now very mature and the recognition rate is getting higher and higher. Compared with other biometric recognition technologies, face recognition technology has its own unique advantages in practical applications: it can be directly accessed by the camera, and the recognition process can be completed in a non-contact manner, which is convenient and quick. It has been applied in the fields of finance, education, scenic spots, travel transportation, social security, etc., but it also brings some problems and is easy to obtain, making it easy for some people to copy by photo, video, etc., so as to steal. The purpose of stealing information. Especially in the emerging financial industry, face recognition technology has been gradually used for remote account opening, withdrawal, payment, etc., involving the immediate interests of users.
To ensure information security, face recognition technology is indispensable, and anti-attack is an indispensable part of its research. Among them, living detection is the core of technology.
What is face recognition technology based on video streaming?
So what is face recognition based on video streaming? In layman's terms, it is in the process of face recognition that you are indeed a "living person", not a photo, video or other god horse, to prove that you are an individual, you are you. Our face recognition technology based on video streaming has multiple countermeasures against attacks. Let's take a look at the mysteries.
The main content of face recognition technology based on video stream includes: face detection, live algorithm detection, 3D detection, continuity detection
Face recognition technology based on video stream content 1: face detection
Positioning the face where to detect whether there is a face or a multi-face in the process of living, can effectively prevent the switching of two people or the switching of people and photos.
Face Recognition Technology Based on Video Stream Content 2: Live Algorithm Detection
Determine whether the user is in normal operation, and prevent the video attack and abnormal action from being attacked by specifying the user to perform random actions (shaking his head, nodding his head, gazing, blinking, moving the mobile phone up and down).
It has been proved by practice that our mobile phone mobile detection method can not pass even if you record your own video!
Face recognition technology based on video stream content three: 3D detection
Verify that the captured portrait is a three-dimensional portrait, which can prevent plane photos, photos with different degrees of curvature, and the like.
Face Recognition Based on Video Stream Content 4: Continuity Detection
Simultaneous use with unmanned face detection can better prevent people from switching in the middle. Verify that the face movement track is normal. If there is abnormal movement in the middle of the substitution, it can prevent the live detection from directly replacing the captured photos from the perspective of safety.
In addition, in order to prevent the photos collected by the living body from being tampered with, the collected photos can also be encrypted to ensure information security.
The birth of new technology is always accompanied by various doubts, and it can withstand the tempering. Some people say that the cost of attacking face recognition technology has dropped, and the cost of criminals has been lower, but the current advancement of our in vivo detection technology is unquestionable.
First, the background of face recognition technology based on video stream
Face recognition technology is now very mature and the recognition rate is getting higher and higher. Compared with other biometric recognition technologies, face recognition technology has its own unique advantages in practical applications: it can be directly accessed by the camera, and the recognition process can be completed in a non-contact manner, which is convenient and quick. It has been applied in the fields of finance, education, scenic spots, travel transportation, social security, etc., but it also brings some problems and is easy to obtain, making it easy for some people to copy by photo, video, etc., so as to steal. The purpose of stealing information. Especially in the emerging financial industry, face recognition technology has been gradually used for remote account opening, withdrawal, payment, etc., involving the immediate interests of users.
To ensure information security, face recognition technology is indispensable, and anti-attack is an indispensable part of its research. Among them, living detection is the core of technology.
What is face recognition technology based on video streaming?
So what is face recognition based on video streaming? In layman's terms, it is in the process of face recognition that you are indeed a "living person", not a photo, video or other god horse, to prove that you are an individual, you are you. Our face recognition technology based on video streaming has multiple countermeasures against attacks. Let's take a look at the mysteries.
The main content of face recognition technology based on video stream includes: face detection, live algorithm detection, 3D detection, continuity detection
Face recognition technology based on video stream content 1: face detection
Positioning the face where to detect whether there is a face or a multi-face in the process of living, can effectively prevent the switching of two people or the switching of people and photos.
Face Recognition Technology Based on Video Stream Content 2: Live Algorithm Detection
Determine whether the user is in normal operation, and prevent the video attack and abnormal action from being attacked by specifying the user to perform random actions (shaking his head, nodding his head, gazing, blinking, moving the mobile phone up and down).
It has been proved by practice that our mobile phone mobile detection method can not pass even if you record your own video!
Face recognition technology based on video stream content three: 3D detection
Verify that the captured portrait is a three-dimensional portrait, which can prevent plane photos, photos with different degrees of curvature, and the like.
Face Recognition Based on Video Stream Content 4: Continuity Detection
Simultaneous use with unmanned face detection can better prevent people from switching in the middle. Verify that the face movement track is normal. If there is abnormal movement in the middle of the substitution, it can prevent the live detection from directly replacing the captured photos from the perspective of safety.
In addition, in order to prevent the photos collected by the living body from being tampered with, the collected photos can also be encrypted to ensure information security.
The birth of new technology is always accompanied by various doubts, and it can withstand the tempering. Some people say that the cost of attacking face recognition technology has dropped, and the cost of criminals has been lower, but the current advancement of our in vivo detection technology is unquestionable.