Back close

Smart Surveillance System by Face Recognition and Tracking using Machine Learning Techniques

Publication Type : Conference Proceedings

Publisher : Springer

Source : 4th International Conference on Computational Vision and Bio Inspired Computing [ICCVBIC 2020]

Url : https://link.springer.com/chapter/10.1007/978-981-33-6862-0_1

Campus : Bengaluru

School : School of Computing

Year : 2020

Abstract : With the recent technological advancements, the theft and other such unnecessary activities can be controlled. At present, many traditional security systems are available to just record the situation, but the unnecessary activities will be already taken. The main objective of this research work is to control and stop the theft by tracking the burglar face or the stranger face image and send the notification to the owners. This system will not only alert the owners, and it can also give access to the door lock with the face recognition feature. In this way, the proposed system replaces the traditional security system with the feature like RFID, PIN method, etc. The accuracy of the proposed system is high, and it works in all the situations, where it can be operated with both battery and main power system. The system has its own database to recognize the person, and the person with registered facial image can only be given access to the door. The developed system has a low powered device with high accuracy system. Moreover, it also helps to reduce the unnecessary activities.

Cite this Research Publication : Niranjan D K, N Rakesh, “Smart Surveillance System by Face Recognition and Tracking using Machine Learning Techniques”, in the 4th International Conference on Computational Vision and Bio Inspired Computing [ICCVBIC 2020], November-2020.

Admissions Apply Now