Terrorist Distinguishment with Military Personnel on Attack in Air base Camps – 3 Chamber Approach: Using Real Time Monitoring – Arduino Sensor Detectors, Iris Recognition System & Wireless Communicating Nodes Deployed

Abstract

The security in the air base camps containing the nuclear assets and aircrafts has become a concern after interagency attacks from neighbouring countries. Manned Approach has proven to be of less efficiency in previous attacks. The research proposed 3C Chamber approach which is to be embedded into unmanned drones that will fly in the sky and recognise the terrorist intergencies. 1st chamber constitutes the 3 sensors connected with Arduino named EMAX 5300 which detects the explosives , DHT11 which is used to catch the humidity and body temperature of the running terrorists in the base camps and OV7670 is the Image sensor which will give the clear image and send to the second chamber which deals iris recognition with the image data so obtained and third chamber is basically the communication chamber that contains the database and deals with regional clusters in wireless communications , localisation of suspect area through network topology so mentioned in the later paper in form of clusters , alarm dissemination phase and to be time efficient we have time synchronisation in the third chamber. All the 3 chambers work simultaneously being connected to each other and respond to the centralised node with deals with action & response. In the second chamber experiment is carried out with UBRIS.V1 database and OpenCv with Training : Testing ratios as 60:40, 50-50, 40-60 – the accuracy came out to be approximately 96.54%. Pre-registration phase involves the registration of the military personnel and later this data is retrieved and matched to catch and differentiate terrorists which is the main issue and concern of the research. The research is a combination of Biometrics , electronic sensors – internet of things , wireless network communication