An Automated System for Identification of Fire and Behaviour of Prisoners Through Posture Using IOT
Suvarna Nandyal, Soumya Mugali · 2018
Prisoners are very dangerous and it's very difficult for the police department to monitor them because, there are chances that the prisoners can try to escape from the prison. To overcome this problem, the present work has been proposed. The work deals with design and development of an automated system to analyze the posture and behavior of the prisoners using the sensors namely, accelerometer sensors and smoke sensor. The sensors are placed on the body of the prisoner mainly, arm, leg and back part. The sensor values will be uploaded on to the cloud periodically. Whenever, the prisoner makes a movement to escape or any misbehavior activities are found, the updated sensor values alert the admin that the prisoner is trying to escape.