An intelligent face detection and recognition system based on depth-learning facial recognition algorithm

Abstract

The invention discloses an intelligent face detection and recognition system based on a depth learning face recognition algorithm, comprising an outer frame, wherein the bottom of the inner wall of the outer frame is fixedly connected with a lifting device, and the top of the lifting device is fixedly connected with a transmission device, which relates to the technical field of a face detection and recognition system. The intelligent face detection and recognition system based on depth learning facial recognition algorithm, as that angle of the face recognition device is facilitate to be adjusted, it can be adjusted according to different usage requirements, Increased practicability of the device, so that a high flow of people can be ensure, the accuracy of capturing face images at large population densities, efficiency, while improving the speed of image searching in large face databases, Recognition accuracy, and effectively improve the maintainability of the system, high concurrency, to ensure that the system in a variety of scenarios continued to work, to ensure that the system has a stable, reliable and efficient iterative upgrade scheme, to ensure data transmission and storage process security and privacy protection.

Description

technical field [0001] The invention relates to the technical field of face detection and recognition systems, in particular to an intelligent face detection and recognition system based on deep learning facial recognition algorithms. Background technique [0002] Face recognition technology is a cross-disciplinary technology such as image processing and pattern recognition. By using computers to process and analyze face images, effective feature information can be obtained for identity recognition. Compared with other biometric technologies, face recognition has the characteristics of non-contact collection, non-mandatory, simple operation, intuitive results, good concealment, etc., which is more accepted by people. Today, with the advancement of biometric technology, face features, as one of the characteristic information of people, are gradually being widely used in various fields. How the facial recognition system has higher accuracy and faster recognition speed is the ...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides an intelligent face detection and recognition system based on a deep learning facial recognition algorithm, which solves the problem that the existing facial recognition device does not have an adjustment device, which makes it inconvenient and difficult to capture a human face. Accurate, but at the same time unable to meet the needs of different installation environments, and the existing facial recognition system has low accuracy, slow image search speed, low recognition accuracy, inconvenient maintenance, and poor stability

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