Journal

With the advantages of technology, nowadays criminals also adapting smarter ways to commit crimes. In every country, we know the crime rate is also increasing day by day instead of it should be decreased. Technology has helped people to make their lives easier and has also helped criminals in making new plans for their crimes. In this paper, the researcher/s are proposing doubt base crime investigation on the base of Human Phycology and body language with the help of computer visions. The central idea of the proposed model is to blend the use of machine learning, IoT, and Computer vision using CCTV cameras. As part of Crime Detection body language and Phycology are still used in many areas for detecting crimes like Airports and other places. The policeman with Philologist is available to monitor the movement and body language of criminals. This base concept we are going to implement with computer visions (CCTV) that include AI algorithms to make the possible human gestures that help CCTV cameras to make real sense of "Doubt Base Crime Detections”. In this paper, we will use emerging technology like1 AI algorithms for Human gestures and movement to incorporate Machine learning with CCTV cameras2 As outcomes, we are providing an alarming system using IOT for aware the people to prevent innocent citizens from major or minor crimes. In this paper, the researcher will propose a pedagogy framework model for "doubt base crime detection" as well as an algorithm that uses emerging technology like AI, Machine Learning, and IoT as a problem-solving method for Crime detection.