Video Based Facial Recognition Systems
VisCheck Face is a video-based facial recognition system that automatically recognizes multiple faces in crowds, vehicles— even in dynamic, uncontrolled environments— and sends real-time alerts so you can take action quickly.
VisCheck Face recognition is as fast as it is accurate, instantly validating identity in order to protect access to sensitive areas.
Video facial recognition systems can be used to automatically identify people from an image source utilizing features from each individual’s face to reject unknown persons when compared to face-recognition datasets. After all, the human face has been an important cue for identifying people for generations and will continue to be used for many more. Nonetheless, facial recognition was traditionally used in law enforcement and administration applications but was limited to identifying individuals using faces from still images. Since video facial recognition systems are designed to provide optimal security while individuals are moving naturally past a checkpoint, video-based recognition is more challenging due to a much larger amount of data to be processed and variations caused by motion blur, video quality, frequent scene changes, and conditions. When correctly applied, advanced face recognition algorithms can bring substantial benefits, including speed and accuracy, for boosting both security and accessibility.
How does face recognition work?
Biometrics are used to identify and authenticate a person using a set of recognizable and verifiable data unique and specific to that person.
Facial recognition systems apply biometrics to map facial features from a video scan. Once an image is captured, the software’s algorithms compare the information with stored datasets of known faces to reject or authenticate any image capture. Cameras are used to detect and recognize a facial image either alone or in a crowd. Once an image is obtained, it is converted to data and analyzed for unique details, such as the distance between someone’s eyes or the shape of their jaw and chin. These mathematical expressions are compared to stored data using a contour map of an individual’s face to prevent being fooled by a photograph or 2-D image. Moreover, if you gain or lose weight, a video-based face recognition system will still know that it is you. The same is true for a person who has aged or is wearing a lot of makeup. The system will still be able to identify the structure of your face. A key advantage of using video facial recognition systems lies in the ability to perform mass identification and authentication without cooperation or passers-by being aware of the security assessment.
Automatically & simultaneously recognizes multiple faces in vehicles.
Greater accuracy of face matches with "several-to-many" comparison.
Take action quickly with near real-time alerts delivered to mobile devices or connected PC's.
Face recognition as a primary method of real-time identification has proven effective in providing security from the transportation industry to industrial power plants, especially where proactive security is needed to verify human access to controlled areas. Biometric video facial recognition systems can compare images of individuals using an incoming feed with images datasets stored in various databases. Face detection, face capture, and face match are the processes where biometric measurements are applied to verify the identity of person seen on camera. Today’s high-tech video based facial recognition systems have led to increased accuracy on a larger scale and in more challenging security environments than ever before. As the accuracy of the technology continues to increase, the ability to support security initiatives for government agencies, private enterprises, and law enforcement will continue to deliver proactive security measures. Real-time alerts can protect crowded spaces and secure sensitive locations through face recognition as a means of identity authentication.
Speed & Accuracy
Accurate capture– supports multiple faces per frame, multiple frames per second speed, and multiple resolutions.
More effective– advanced face recognition algorithms make the software more effective in identifying matches from low-quality images.
From a security perspective, it is crucial for identification and authentication processes to run as smoothly and efficiently as possible. Advanced face recognition algorithms provide a high-tech solution to bolster the speed and accuracy of admitting workers, visitors, or guests by quickly capturing and analyzing video data. As the latest technology for artificial intelligence is applied to access control, facial recognition systems using biometrics from live video capture are much faster than human cross-checking a person’s photo ID. The need for security checks that are fast and accurate has continued to grow and video facial recognition solutions can provide the speed of identity verification with the necessary layer of security to significantly reduce the risk of unauthorized persons gaining access to a controlled area. With that said, video based facial recognition systems are incredibly powerful tools with an unprecedented ability to track, capture, identify and verify people in motion.
Time & Attendance Management
In addition to providing access control and security for protected areas, video facial recognition makes time and attendance management easier. This is especially useful with hygiene services being mandated as safety procedures during the COVID-19 Pandemic.
VisCheck Face is a video-based facial recognition system that uses biometric technology to determine distinguishable facial features to recognize, verify and authenticate individual identities. Next generation video surveillance cameras can provide useful data regarding insights about who is entering and when; as well as who is exiting an area and when. Major advantages of video facial recognition are the safety checks and security provided at various checkpoints. VisCheck Face archives images in a database for real-time identification and authentication for quickly determining access permission and restrictions as well as rights and privileges that a person has in secure areas. Data captured on video provides the comparative datasets required to make quick and accurate decisions. Unlike passports, driver’s licenses, and other traditional forms of image IDs, it’s much more difficult to replicate a subtle set of unique biometric identifiers like spacing of the eyes, the bridge of the nose, or the contour of one’s lips. It is this versatility and convenience that makes video-based facial recognition systems the best choice for monitoring a variety of security and safety applications.