Students create Intelligent Patrolling System for MSTrIPES project

Shriya Sehgal and Avani Jindal, under the able guidance of Mr. Saurabh Shanu, completed their Summer Internship in the online mode working on Intelligent Patrolling System as a part of the MSTrIPES project. They developed a software that generates a non-deterministic, dynamic, and optimal patrol framework in time and space based on prior spatial information. This helps in detecting the areas with the highest vulnerability to poaching activities in a wildlife reserve. They also visited Rajaji National Wildlife Reserve to acquire data and analyze the challenges faced by patrolling guards.

Wildlife conservation authorities use patrols organized by the forest guards to prevent illegal activities like poaching in the reserve. Having a deterministic path for the guard to patrol makes it easier for the adversary to penetrate the area. Herein, we develop a program for generating a non-deterministic, dynamic, and optimal patrol framework in time and space for Protected Area guards. The entire area was divided into grids with criticality scores provided to each of them depending on various environmental and human factors. A path is then provided from the source to the sink points. Optimizing the patrols on the prior spatial information helps in defining a non-deterministic route to be undertaken depending on various parameters which are essential to be considered by the patrol party to fulfil the aims and objectives of their movement in a reserve.