Criminals And Missing Children Identification Using Face Recognition And Web Scrapping

Face recognition is a biometric based technology that maps an individual's facial features mathematically and stores the data as a face print. It employs Machine Learning on the image and generates a feature vector which maps an object with array of numbers. This technology is used by organizations such as Google and Facebook to create a digital profile for its users. This project proposes to use this technology for identifying criminals who are on the run from their previous records. An NCRB (National Crime Records Bureau) report shows that 70% of crimes are repeatedly committed by the same criminals. These criminals can be identified by the face recognition from an image or video frame which is captured by the cameras which are installed in various locations and it can also be used for identifying missing children. The disadvantage posed is that the images are usually blurred, have less clarity and not recognizable to the human eye. The proposed system can successfully recognize more than one face which is useful for quickly searching suspected persons as the computation time is very low. It creates a unique template for each face and compare them with other images available in dataset. If the match is found for the input face, then the details associated with the related image will be displayed. This system will decrease the crimes and ensure the security in our society.