Vehicle Face Recognition Method Based on Deep Learning

Abstract

A vehicle-mounted face recognition method based on deep learning: acquire images, construct a driver data set; construct a model, including extracting visual features and semantic features and constructing a feature processing model; train the feature processing model; optimize the experimental results according to the test results, and The optimized feature processing model is sent to the main control end; warning lights and cameras are installed on the car, and the driver's operation situation is uploaded to the main control end in real time, and the main control end judges whether the driver has violated the rules according to the optimized feature processing model Driving, when there is illegal driving, the main control terminal sends out a signal to activate the warning light to remind the driver to drive in a civilized manner. The present invention analyzes face changes in real time, extracts face features, detects whether there is any illegal operation, and analyzes and compares it with the data set. Send an alarm to stop the bad behavior of the driver in time. Reduce the possibility of traffic accidents.

Description

technical field [0001] The invention relates to a face recognition method. In particular, it relates to a deep learning-based vehicle face recognition method. Background technique [0002] With the rapid development of information acquisition and information processing technology, computer vision, that is, how to use computer technology to efficiently and accurately obtain relevant information from environmental images or videos, and then analyze, judge and make decisions about things and phenomena in the objective world , has become a very important research topic. With the rapid development of deep learning, computer vision has developed rapidly in recent years, and deep convolutional neural networks have played a very important role in the research and development of computer vision. [0003] With the rapid development of computer vision, the development momentum of face recognition technology is good, and the application of face recognition is becoming more and more ex...

AI Technical Summary

Problems solved by technology

[0005] At present, although my country's vehicle-mounted cameras have developed to a certain extent, they are mainly concentrated in the fields of vehicle speed testing, target tracking, pedestrian detection, and obstacle detection. There is not much research on the driver's safe and civilized driving. There is no real-time and efficient judgment method for judging whether the driver is driving illegally

Images