The problem GAIT USING AI FOR SAFETY OF MILITARY MEN IN CAMPS solves

The proposed methodology is to identify the illegal intruders in military base by using machine learning techniques. The image is capture by using CCTV cameras from which the features are extracted and classified. The extracted features are analyzed in the machine – learning – neuralnetworks pattern recognition.The features of military people inthe base are extracted and saved in the database. The intruders with different gait features entering the military base is beendetected by comparing the gait data base of military people. The Neural Network pattern recognition identifies the intruders with good percentage of accuracy. It is used to clearly classify the gait database and newly entering intruders in military base. When a new intruder enters the military base, the entire base is alerted and thus safety of military men is achieved.

Challenges we ran into

We started our project using MATLAB Simulation software. But, when we started making our idea into matlab code, we faced many challenges. We faced a run time termination because we of a very small logical error and we struggeled a lot while taking the database images, then coming to the software, we used MATLAB which is a heavy software. Our aim is to enrich our project by using python and machine learning algorithms.