Human Detection and Monitoring System Using Multi Sensor Data Fusion
Sanket Walke, Shubham Marne, Omkar Langhe, Ashwin Kumar Kulkarni, Sandip Mahajan · 2018
The accuracy factor of moving object in the monitoring system is very difficult. In today's world, human interception is essential to keep track of activities. To make it easy for the human, the technologies like Artificial Intelligence, Multi-sensor data fusion performs a crucial role in this system. The following proposed surveillance system provides functions like detection, tracking, and identification of humans. This surveillance system is divided into two major modules where the very first module is responsible for detecting humans. Where the human face is getting detected by the haar-cascade classifiers used in the algorithm which provide accurate results and in the second module, tracking is done on detected faces. To achieve this we've inculcated our system with image processing abilities for multi-sensor data fusion and tried to obtain artificial intelligence on a primary level. The main motive of this system automates the current surveillance system as much as possible by reducing the human control on the system and also to have greater accuracy and offer maximum runtime.