MULTIPLE FACE DETECTION AND RECOGNITION USING DEEP LEARNING FOR IoT-BASED MONITORING SURVEILLANCE
Developed a multiple face recognition system using surveillance camera with data logging feature which can be viewed on a web-based application and a SMS notification to alert the authorized personnel whenever an unknown face is detected.
System Design
System Implementation
Shows the V380 Dual Antenna CCTV IP Camera and system setup. The system will gather images from the surveillance camera. The server will transmit data to the web-based application to view to the user of the logs from the gathered data.
The dashboard displays the logs of all the individual from the video that is entering in the premises. The logs contain the date and time of the individual and as well as the name or the unrecognizable person that the system detect.
Results
For this test, there are three persons entering in the premises. Only two person has a given name in the system and the other one has not in the system. The system recognizes the 2 individual and the other is the unauthorize person entering in the premises.
Sample text received by the user if unauthorized person enter the premises.