What is Visible Light Facial Recognition
Enhanced Visible Light Facial Recognition is the latest technology, aimed to overcome shortcomings of previous facial recognition and achieve an all-rounded upgrade on whatever performance and reliability by using Deep Learning. Facial Recognition has been considered as one of the rising biometric technologies and many are optimistic about its development in the future. However, the technological incapability of facial recognition has also been exposed along with the increasing usage in our daily life, mainly in the ability of anti-spoofing, threshold of processing power, environmental restriction on light source and pose of angle.
Therefore, this is precisely what the Enhanced Visible Light Facial Recognition developed for and the key to this breakthrough would be incorporating Deep Learning technology. Deep Learning is adapted to fill up those three technological incapabilities as aforesaid and has been passing through a continuous training to keep enhancing its performance.
Performance on practical applications
The Enhanced Visible Light Facial Recognition is rather an all-rounded upgraded version on previous facial recognition technology, not only qualified for general applications, it is also competent for advanced recognition task under a dynamic environment. Especially for its cutting edge anti-spoofing function, any business with high level of security needs will only find it a more reliable technology over the rest.
Step through the enhanced Visible Light Facial Recognition
①DetectionSystem will firstly identify if there is a human face in the image or video and ignore anything else.During detection, Deep Learning with high accuracy and real-time detection ability has given play to its functions of detecting human faces in different size as well as being more adaptable when dealing with backlight.
② Pose Estimation (Deep Learning)Estimation model is developed via Deep Learning for precisely identify the pose angle such as yaw,pitch and roll. Learning the precise pose angle can benefit subsequent moderation on angulardistance.
③Quality ReviewAfter estimation of the pose angle of input faces, the image will undergo a quality review in 3dimensions of brightness, clarity and pose angle to ensure quality of images falls into an acceptancerange and screen out images which classified as unrecognizable for preventing any waste ofprocessing power.
④Alignment and Feature ExtractionFace alignment refers to the positional adjustment of a person’s eyes, nose and mouth to theindicated positions. This process requires 2D affine transformation including movement, zooming, opposition and rotation. The aligned face images are more efficient to be verified by verification algorithms. Face alignment refers to the positional adjustment of a person’s eyes, nose and mouth to theindicated positions. This process requires 2D affine transformation including movement, zooming,opposition and rotation. The aligned face images are more efficient to be verified by verification algorithms.
⑤RecognitionRecognition is the final process which classifies the detected, aligned and normalized faces intoknown identities by crosschecking the extracted features on templates. Recognition is usually donefor training purpose or identification task, different approaches or techniques will be applied eitherway:
Application for Visible Light Facial Recognition
Visible Light Facial Recognition System is able to automatically recognize and track faces in videos. After installation, System is enabled to actively collect face images and perform matching and identification upon any human activity in its 3-meter distance. Upon successful verification, staffs are free to have entrance and exit without any queuing and waiting needed.T
he Visible Light Facial Recognition System is widely suitable for various applications including offices, warehouses, clinics, manufacturing plants, catering premises and constructions sites etc. For staffs that have been tired of long queue, it no longer requires waiting long time and walking in front of conventional passive recognition systems for fingerprint or facial verification. Instead, with the great convenience and efficiency brought by the Visible Light FacialRecognition System, staffs only need to walk straight through and the System actively match faces and data.
