How to distinguish between binocular, monocular, and 3D structured light cameras for facial recognition
2020-05-08
First, let's introduce the monocular camera, which defines the ability to parse real-time unstructured video data into structured data through a monocular algorithm. Based on the facial features of the person, determine whether there is a face in the input face image or video, and then capture the positioning of key facial information, and analyze and obtain attributes such as gender and age. It can be used for precise promotion, can obtain expressions in real time, can be used for expression interaction or customer sentiment analysis, through monocular RGB** detection, support face library search (1:N), and 1:1 comparison between myself and ID photos.
Advantages: Easy to deploy and low cost. Applicable scenarios: precise promotion, passenger flow statistics, access control management, etc. Applicable equipment: face recognition attendance machines, self-service equipment, digital signage, smart shelves, etc.
Binocular camera definition is a face recognition solution based on a binocular camera, which uses a binocular camera. That is, one camera collects visible light photos, and one camera collects near-external light photos, and the captured faces are recognized. Accurate identification and positioning of some key feature points such as eyes, ears and nose are carried out, and various spatial information such as interpupillary distance, nose height, eye-to-mouth to ear distance and other spatial information are calculated, and the calculation error is less than 1mm, which can effectively resist fraud such as photos and videos. Accurately detect whether it is a "living person" or "real person" to ensure the accuracy of the detection.
Advantages: Compared with the monocular face recognition solution, the binocular face recognition solution is more accurate in terms of detection. It can effectively resist attacks such as photos and videos, and is more adaptable to factors such as light changes and complex background environments, and can support true unattended. Applicable scenarios: access control management, face recognition turnstiles, etc.
D structured light definition face recognition scheme "based on deep learning structured light algorithm and 3D structured light depth camera. It can use structured light equipment to obtain color, infrared, and depth pictures of the scene at the same time, and detect and analyze the faces in the scene to form a 3D face image. Create face models with facial depth information for better recognition speed, accuracy, and security.
Advantages: 3D structured light face recognition technology is far superior to monocular and binocular face recognition in terms of security, recognition accuracy, and recognition speed. More effectively defend against attacks from various props such as paper, masks, and phone screens. The analysis time has been reduced from 1-2 seconds to milliseconds. And it is not affected by the intensity of ambient light, applicable scenario: face recognition payment, applicable equipment: face recognition payment smart vending machine.
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