Pedestrian analysis intelligent analysis system based on computer vision

Abstract

The invention discloses a pedestrian analysis intelligent analysis system based on computer vision. The system comprises a pedestrian analysis intelligent cloud platform and a pedestrian analysis intelligent mainboard, the pedestrian analysis intelligent mainboard comprises a computing board card and a computing platform; the pedestrian analysis intelligent cloud platform comprises a face analysisengine, a pedestrian analysis engine, a hybrid analysis engine, a training engine and a cloud computing architecture, the system further comprises a database, the database comprises a face data module, a body data module and a hybrid data module, and the database is connected with the pedestrian analysis intelligent cloud platform and the pedestrian analysis intelligent mainboard. The integratedidentity recognition based on the face and pedestrian characteristics can improve the accuracy of pedestrian recognition, and the cloud + terminal mode can better adapt to richer scenes and user requirements. The method has very important significance for the trend of intelligence + and 5G times.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an intelligent analysis system for pedestrian analysis based on computer vision. Background technique [0002] With the rapid development of deep learning, computer vision has become the most important technology in the field of artificial intelligence. Computer vision is regarded as an important branch of artificial intelligence, which is equivalent to the gate of artificial intelligence. In artificial intelligence, visual information is much more important than hearing and touch. 70% of the activity of the human cerebral cortex is processing visual information, and since artificial intelligence aims to allow machines to think and process things like humans, computer vision technology has played a large role. Computer vision refers to the machine vision that uses cameras and computers to simulate human vision to identify, track, measure, etc., and do further graphics pr...

AI Technical Summary

Problems solved by technology

Face recognition is very useful, but the current face recognition technology has many shortcomings, such as the surrounding light environment, pedestrian posture, etc., which may affect the accuracy of recognition. In the face of complex scenes such as dark and similar scenes, the recognition rate is not good. good