Table of ContentsSummaryIntroductionConclusionSummaryThe Suspicious Activity Detection System aims to serve as a reliable online examination system based on strict online security and true candidate authentication. The main objective of the project is to detect the human who cheats during the exam. The human face and human behavior play an important role in identifying people. The proposed system aims to identify abnormal head movements, thereby identifying the copy. It will also identify a student who leaves their exam seat, exchanges position with another student or consults another student's computer. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”?Get Original EssayIntroductionOnline exam has become very popular in today's IT world. It has replaced all the disadvantages of offline exam. But today there still remains a big question regarding the security of the online exam. Student authentication during the online exam is a big problem. The major disadvantage of online exams is that a candidate can easily use unauthorized methods. The system consists of software developed and executed on the computer on which the online exam is to be conducted. The Webcam is connected to the same computer. The designed software runs in the background while the online exam runs on the front line. For the online exam, the computers used are placed at an appropriate distance from each other so that in a normal situation only one student (who is expected) appears in front of the webcam. In the proposed system, the student must have a webcam. computer system equipped and he must be positioned so that his face is clearly visible from the front. During a first check, the student will be asked to show the entire room in which the online exam will take place. The first part of surveillance is face detection. After detecting face, video input, audio is also captured to detect if there are any unwanted people, especially if there is someone talking in the room. A student user may be trying to copy from a file on the computer. Then, all these elements are given as input to the heuristic inference system. By analyzing all these inputs, the inference system decides whether there is malpractice or not. The study of literature has provided us with various articles and techniques which will be useful for the development of the project. These papers used various image processing techniques for face detection and tracking, which can be explained as follows: Online automatic monitoring system based on heuristics[1] 2015 IEEE 15th International Conference on Advanced Learning TechnologiesCet article proposes a new multimodal method for automatic face detection. online monitoring using a combination of image processing, audio processing and computer monitoring techniques. In the proposed system, the remote invigilator only needs to inspect the examination room. The proposed system based on automatic online proctoring based on heuristics combining image processing, audio processing and computer monitoring techniques that removes the need to have a remote proctor throughout the exam to control cheating. Automated video surveillance to detect suspicious human activities [2] International Journal of Emerging Technologies in Computer and Applied Sciences (IJETCAS) The proposed system aims to identify abnormal head movements, thereby prohibiting the.