Detection of Abductors Using Machine Learning Algorithms

The objective of this project is to help the police personnel and higher authorities to track down missing people quickly. The usual process to track down a missing person is using different types of investigation methods which include case diaries, spot visit, collection of evidences, searches and seizures, witness examinations, etc., that requires lot time and experience in that field. Most of the times, investigation methods work pretty well, but it is time consuming and can be unsuccessful if the person has been shifted to different location. This project proposes a system that would help the police and the public by speeding up the process of searching. We are using image processing and machine learning algorithms along with Postgres SQL database to insert, update, and delete the information regarding the missing person and help the authorities to find the abductor as soon as possible (Sisodia et al., Evaluation of machine learning models for employee churn prediction, 2017). The AI is used to push the image that is closest to the victim’s facial features. There are various NGO’s and Government initiatives to help with it. This paper tries to implement a new way to help the police personnel and higher authorities. We connect this system to the public cameras where the public cameras keep on recording all the details in its environment, and when it matches an image with the image present in the database, then it captures the image and store the location into the database.