B. Balakrishnan, Punit Suryarao, Rashmi Singh, Sakshi Shetty, Sparsha Upadhyay
{"title":"基于树莓派的车辆防盗人脸识别系统,速度控制和障碍物检测","authors":"B. Balakrishnan, Punit Suryarao, Rashmi Singh, Sakshi Shetty, Sparsha Upadhyay","doi":"10.1109/ROMA55875.2022.9915691","DOIUrl":null,"url":null,"abstract":"This paper presents a proposal for the development of a vehicle guard system using face authentication and obstacle detection based on IoT technology. In previously existing systems many verification features like Fingerprint, facial features, and iris scanning are used for various security applications. Few projects used RF transmitters and receivers to detect and control the speed. The drawbacks of the existing systems are, that some systems require the user to remember the password, which is not a convenient option for everybody. Another product also been produced to identify user identity that is an RFID card. Hackers can even alter RFID data and replace it with their own. Some systems use fingerprints to identify a person’s identity. The main reason why biometrics fingerprint lock is not widely used is because of the high price tag and there is possibility of disguised or damaged fingerprints. Some systems detect the obstacle in front of the vehicle, alarm the driver, alert them to move away, and do not take any specific action to avoid the obstacle. The proposed system uses face detection for Identity Verification and gives full access to authorized vehicle drivers based on the interface of Raspberry Pi 4B development board, pi-camera, Ultrasonic sensor, etc. This vehicle stops on detection of an obstacle in the given range. The presence of the ultrasonic sensor increases the efficiency and reliability by enabling the vehicle to detect an approaching object before it and thus stop the vehicle.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Vehicle Anti-theft Face Recognition System, Speed Control and Obstacle Detection using Raspberry Pi\",\"authors\":\"B. Balakrishnan, Punit Suryarao, Rashmi Singh, Sakshi Shetty, Sparsha Upadhyay\",\"doi\":\"10.1109/ROMA55875.2022.9915691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a proposal for the development of a vehicle guard system using face authentication and obstacle detection based on IoT technology. In previously existing systems many verification features like Fingerprint, facial features, and iris scanning are used for various security applications. Few projects used RF transmitters and receivers to detect and control the speed. The drawbacks of the existing systems are, that some systems require the user to remember the password, which is not a convenient option for everybody. Another product also been produced to identify user identity that is an RFID card. Hackers can even alter RFID data and replace it with their own. Some systems use fingerprints to identify a person’s identity. The main reason why biometrics fingerprint lock is not widely used is because of the high price tag and there is possibility of disguised or damaged fingerprints. Some systems detect the obstacle in front of the vehicle, alarm the driver, alert them to move away, and do not take any specific action to avoid the obstacle. The proposed system uses face detection for Identity Verification and gives full access to authorized vehicle drivers based on the interface of Raspberry Pi 4B development board, pi-camera, Ultrasonic sensor, etc. This vehicle stops on detection of an obstacle in the given range. The presence of the ultrasonic sensor increases the efficiency and reliability by enabling the vehicle to detect an approaching object before it and thus stop the vehicle.\",\"PeriodicalId\":121458,\"journal\":{\"name\":\"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROMA55875.2022.9915691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMA55875.2022.9915691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vehicle Anti-theft Face Recognition System, Speed Control and Obstacle Detection using Raspberry Pi
This paper presents a proposal for the development of a vehicle guard system using face authentication and obstacle detection based on IoT technology. In previously existing systems many verification features like Fingerprint, facial features, and iris scanning are used for various security applications. Few projects used RF transmitters and receivers to detect and control the speed. The drawbacks of the existing systems are, that some systems require the user to remember the password, which is not a convenient option for everybody. Another product also been produced to identify user identity that is an RFID card. Hackers can even alter RFID data and replace it with their own. Some systems use fingerprints to identify a person’s identity. The main reason why biometrics fingerprint lock is not widely used is because of the high price tag and there is possibility of disguised or damaged fingerprints. Some systems detect the obstacle in front of the vehicle, alarm the driver, alert them to move away, and do not take any specific action to avoid the obstacle. The proposed system uses face detection for Identity Verification and gives full access to authorized vehicle drivers based on the interface of Raspberry Pi 4B development board, pi-camera, Ultrasonic sensor, etc. This vehicle stops on detection of an obstacle in the given range. The presence of the ultrasonic sensor increases the efficiency and reliability by enabling the vehicle to detect an approaching object before it and thus stop the vehicle.