Research On Automobile Intelligent Anti-theft System Based On BeiDou Navigation And Image Technology

With the increase of car ownership,the incidents of car theft also happen more often,and the number also has an increasing trend.At present,the anti-theft device applied to some cars has some problems,such as poor anti-theft effect,limited alarm distance,high false alarm rate.In order to solve the existing problems of automobile anti-theft system,a kind of automobile anti-theft system based on Beidou navigation and image technology is developed by using wireless sensor network and biometric identification technology,so as to improve the accuracy and high efficiency of the anti-theft system.This paper analyzes the main types and characteristics of the existing vehicle anti-theft system,and studies the vehicle attitude and vehicle position solving methods based on Beidou navigation technology.The vehicle track estimation system based on Beidou navigation,gyroscope and electronic compass was established,and the accurate estimation of vehicle track was realized by Kalman filtering.This paper proposes a face recognition method based on car security system,studies the extraction and matching method of face features,and USES deep learning theory to propose a face recognition method based on identity mapping and attention mechanism.This paper analyzes the main types and characteristics of the existing vehicle anti-theft system,and studies the vehicle attitude and vehicle position solving methods based on Beidou navigation technology.The vehicle track estimation system based on Beidou navigation,gyroscope and electronic compass was established,and the accurate estimation of vehicle track was realized by Kalman filtering.This paper proposes a face recognition method based on car security system,studies the extraction and matching method of face features,and USES deep learning theory to propose a face recognition method based on identity mapping and attention mechanism.