Automobile Anti-theft System Based On Infrared Face Recognition

After decades of development,face recognition technology has been relatively mature,but most of the current applications are for visible light.This kind of application is vulnerable to the impact of lighting Angle and intensity,the identification efficiency will be greatly reduced,and can not be used to identify photos and videos,easy to fake real people to identify.Aiming at the disadvantages of visible face recognition,some scholars propose near-infrared face recognition.Near infrared face recognition is not affected by visible light,infrared light source imaging stability,even all black or direct sunlight can work normally.Some of the existing domestic parked vehicles are outside,and some are inside.The light of these two environments varies greatly,so conventional visible face recognition is not suitable for the environment where the car is located.In this paper,near-infrared face recognition technology is selected to design and implement the car anti-theft system,which solves the disadvantages of mechanical and electronic equipment and prevents the car owner from stealing because of the loss of car keys.The main research contents of this paper are as follows: firstly,the current situation at home and abroad and various face recognition algorithms are analyzed.Secondly,I studied the near-infrared imaging technology,car anti-theft technology and face recognition algorithm,which laid a foundation for the development of the system.Thirdly,according to the actual situation of car anti-theft,the system needs are analyzed to determine the functional and non-functional requirements of the system,and the functional requirements are divided into modules.Then,on the basis of demand analysis,complete the design and implementation of the system,including the overall design,database analysis,the design and implementation of each functional module and the detailed implementation of the face recognition algorithm;In addition,each function module of the system is tested and analyzed.The main achievements of this paper are as follows: Face recognition algorithm under near infrared imaging,including face acquisition and detection,linear discrimination analysis,feature extraction and feature value calculation;The business process of the system meets the requirements of communication between the system and automobile anti-theft,anti-theft alarm,etc.After testing,the system can ensure the safety of the vehicle and the alarm system,achieving the expected goal.