Smart Motion Detection Surveillance Rover with Night Patrolling for Women’s Safety and Monitoring
Keywords:Convolutional Neural Network (CNN), OpenCV, Raspberry Pi, Raspberry Pi camera, Twilio
Now-a-days women safety is the biggest concern in many parts of the world. so the need for a safe and secure system is desired by each and every individual in the society. Our project describes about a safety electronic system for women safety. In this project we propose to use a security camera with the night vision capabilities using raspberry pi and openCV. This is a cost effective method that uses a credit card sized chip Raspberry Pi and also we use a pi camera. The deep learning technique CNN is used for anomaly detection. So the image is captured via the pi camera and it is send to the raspberry pi for processing for face and human detection with the help of openCV. This is further sent to the authorized user with the aid of application programming interface called Twilio with the location of crime spot. Also the image of that unusual situation is also sent to the authorized user through mail. This system has accuracy of about 83 %. With the help of a smart surveillance system, we have achieved a system that can record the event, detect and recognize the unusual activities.
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Copyright (c) 2021 B. N. Divya, Bhargavi Hegde, B. R. Chaithanya, M. T. Moulya Raju, S. Shambhavi
This work is licensed under a Creative Commons Attribution 4.0 International License.