CRIMINAL APPREHEND SYSTEM

Real time & non real time criminal apprehend system using the concepts of Machine Learning & Digital Image Processing. In this project, I will analyze various facial aspects of a criminal in real time and non real time with the help of various algorithms. In non-real time, our database of images is processed by the program. Then the image selected is compared with all the different images present in the database to find out the where the suspect was or what were the images of a specific location during a specific period of time. In real time, the suspects image can be captured and run through the database to identify him. If the known suspect is a criminal then a red alert box will be displayed on the suspects face while the video surveillance is running and the geo-location (consisting of latitude and longitudes) of the suspect will be sent to the required authority via message instantly. This project will help people to apprehend criminals quickly and even backtrack all the places and people criminal has come in contact with.