Proactive Video Surveillance System for Female Security in Isolated Corridors
- 1 min- This project was my Bachelor’s Thesis and also won the Best Bachelor’s Thesis Award.
- The project poster was presented at The PyCon US 2020 in Pennsylvania, USA in April 2020.
- Was also a part of India Innovation Challenge Design Contest’ 2018 organised by DST, Govt. of India in collaboration with IIM Bangalore. Our team was selected out of 10146 teams for the contest.
- Aims at pro-actively detecting suspicious activities like molestation against women and automates the current manual Surveillance process to enhance the security standards for women in the society.
- Uses hybrid neural networks containing stacked Convolutional Neural Networks and Long Short Term Memory Networks sequentially to capture spatial and temporal information from the live video streams.
- Hardware used is Beaglebone black as a micro-processor along with CCTV cameras to process frames and predict suspicious activities in real-time.
Vibhor Agarwal
PhD @University of Surrey, UK | Visiting Researcher @Georgia Tech, @QMUL | Interested in NLP, Graphs, and Computational Social Science | Ex-NLP Research @JP Morgan AI Research, SRE @Media.net, GSoC'18 @Oppia