Updated May 24, 2019
Arjun DSend Message
Terrorists and intruders are disturbing the peace and harmony of the nation. Traditional border patrol systems required a huge number of military persons, high-tech devices and high-cost camera surveillance systems. High false alarm rate and line of sight constraints are the problems encountered while using any of these techniques. There is a lack of system with multi-sensing capabilities for a human intruder detection in flat border regions, river or pond crossings, and dry leaves areas.
There is a need in developing a multi-sensing system that coordinates various technologies to detect the human intrusion in the three commonly observed border scenarios: flat border regions, river or pond crossings, and dry leaves areas with improved system accuracy and early warning capabilities.
|Projected Cumulative Lives Impacted||50,000|
|New Implemented Countries||India|
|Recruit||1 management, 2 board, 3 advisor and 10 volunteers|
|New Feature||IoT based multi sensing system for border areas, Sensor data collection and machine learning analytics.|
Arjun D (Research Assistant), Indukala P K( Research Associate), K A Unnikrishnamenon(Professor), Amrita Center for Wireless Networks and Applications(AmritaWNA), Amrita School of Engineering, Amritapuri, Amrita Vishwa Vidyapeetham, India.
EXECUTIVE TEAM INCLUDES WOMEN