Deep Learning- Based Surveillance System using Face Recognition

• Main Authors: Kapil Divya, Kamtam Aishwarya, Kedare Akhil, Bharne Smita
• Format: Article
• Language: English
• Published: EDP Sciences 2020-01-01
• Series: ITM Web of Conferences
• Online Access: https://www.itm-conferences.org/articles/itmconf/pdf/2020/02/itmconf_icacc2020_03011.pdf

Surveillance systems are used for the monitoring the activities directly or indirectly. Most of the surveillance system uses the face recognition techniques to monitor the activities. This system builds the automated contemporary biometric surveillance system based on deep learning. The application of the system can be used in various ways. The face prints of the persons will be stored inside the database with relevant statistics and does the face recognition. When any unknown face is recognized then alarm will ring so one can alert the security systems and in addition actions will be taken. The system learns changes while detecting faces automatically using deep learning and gain correct accuracy in face recognition. A deep learning method including Convolutional Neural Network (CNN) is having great significance in the area of image processing. This system can be applicable to monitor the activities for the housing society premises.