Surveillance Camera using Face Recognition for Automatic Attendance Feeder and Energy Conservation in Classroom
Jayakumar Kaliappan1, R. Lokesh Kumar2, Narayanan Prasanth3, Jain Shreyansh4
1Jayakumar Kaliappan , School of CSE, VIT University, Vellore, India.
2R. Lokesh Kumar, School of CSE, VIT University, Vellore, India.
3Narayanan Prasanth, School of CSE, VIT University, Vellore, India.
4Jain Shreyansh, School of CSE, VIT University, Vellore, India.

Manuscript received on November 20, 2019. | Revised Manuscript received on November 26, 2019. | Manuscript published on 30 November, 2019. | PP: 3222-3225 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8033118419/2019©BEIESP | DOI: 10.35940/ijrte.D8033.118419

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Abstract: This works gives solution to two most important problems in the universities by equipping a surveillance camera with Artificial Intelligence (AI) technology. The first problem solved is unnecessary time wastage in manual and bio-metric (fingerprint based) attendance marking for students. The second problem solved is the unnecessary electricity wastage in classrooms without occupants. Using the videos getting recorded in surveillance cameras, the number of heads detection and face recognition is done. When there is no occupants in the class, the number of heads detected will be zero. So we can cut-off the electricity supply for that classroom. With the face recognition process the attendance for the students will be get automatically marked. The Intel movidius stick does the work of face recognition and finding the head counts.
Keywords: Artificial Intelligence, Bio-Metric, Face Recognition, Surveillance Cameras, Attendance.
Scope of the Article: Artificial Intelligence.