Detection of Crime Activities Using Machine Learning
Sukrutha B, Nisarga T N, Vaishnavi S V
object detection, motion tracking and activity recognition
This research paper proposes a novel approach leveraging machine learning techniques for the automated detection of crime activities through surveillance camera feeds, coupled with the generation of real-time alert messages for security systems. The proposed system utilizes advanced computer vision algorithms to analyze live video streams from surveillance cameras, detecting anomalous behaviors and potential criminal activities. These algorithms are trained on large datasets of labeled video footage, enabling the model to learn and recognize patterns indicative of suspicious behavior such as trespassing, vandalism, theft, or violence. Upon detecting crime activity the system triggers alert message and sends alert message to security personal or law enforcement agencies.
Article Details
Unique Paper ID: 164585

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 2925 - 2932
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