A crime detection and campus management system that helps in the detection, classification and subsequent mitigation of crimes occurring in a region of surveillance.
Find the complete thesis here.
Human PokeDex aims at promoting safety on campus by automating the task of monitoring and reporting crimes by assigning the responsibility of detecting criminal or abnormal activity to a system which is well-versed in deducing patterns that distinguish criminal activity from normal activity.
In addition to detecting abnormality from footage, the vast CCTV network intertwined with the campus management system can be used for further implementations:
- Detecting crimes in a footage fed from a camera and recognizing people involved in the crime
- Enabling a student tracker system (Since CCTVs can now recognize faces, the vast CCTV network can maintain timestamps on a student’s whereabouts at any given instant of time)
- A one-stop app which
- leverages the same face recognition model from CCTVs to recognize criminals from a mobile phone
- provides data from student tracker log in order to find the whereabouts of students/professors
- retrieves relevant data on students (recognized by face or from a dropdown list)
- receives alert notifications from the nearest CCTV camera witnessing a crime
- stays in sync with the database linked with the CCTV network for better management of complaints
In order to fulfil these objectives, a greater objective was to generate video classification inferences from a normal 2D CNN, along with a minor objective of recognizing faces using simple vector-based classification algorithms.