UTILIZING SENSOR DATA FROM MOBILE PHONES IN CRIME SCENE INVESTIGATION: A NOVEL APPROACH

Abstract

In contemporary times, mobile phones have become ubiquitous tools serving various beneficial purposes. Among these, they play pivotal role in capturing real-time crime scenes, promptly reporting incidents, and swiftly alerting law enforcement. Our innovative approach introduces a method of scrutinizing crime scenes through the utilization of sensor data obtained from mobile phones. This pioneering technique employs classification algorithms like Gaussian SVM and KNN to detect potential criminal events. Impressively, our methodology yielded an 81% accuracy rate with KNN and a 78% accuracy rate with Gaussian SVM. This breakthrough technique holds promise for future forensic endeavors, offering a valuable tool in unraveling enigmatic cases.