Exploit of one’s identity is a major threat the world faces, especially in Sri Lanka, where countless fake documents are forged which is very identical to the legitimate documents issued by the government authorities to recognize every individual. Per literature, the existing system is such that the documents are stored within a database hosted by the government, but there is no direct way of comparing every document presented by the person to validate the legitimacy of the documents, which gives the requirement for blockchain such that every issued document can be hashed and stored, allowing to spot fake or unauthorized documents by rehashing and checking against the existing hash stored in the blockchain, as foreign blockchain solutions are not economically feasible in Sri Lanka, a blockchain needs to be developed locally with multi-threaded asynchronous support for faster transaction processing, and non-blocking communication between blockchain nodes. In Sri Lanka, automated criminal detection is not much popular and authorities' procedures for identifying offenders are time-consuming. Using an automated approach to identify a wanted individual might be preferable to present practices. Current processes and techniques, such as acquiring records from eyewitnesses, are untrustworthy. Analyzing people's faces, behaviors, and threatening voices in CCTV camera footage is time-consuming. The proposed system can be able to register civilians, detect unusual behaviors, such as fights and criminals waving dangerous weapons in public, criminal face identification, which has the power of recognizing criminal faces at various stages of age, and recognition of the situation depending on the voice tracks extracted by CCTV footage. It summarizes whether the situation is threatening or not. In this research, we have proposed a desktop application for criminal identification with a higher accuracy level

Keywords : Hash, Blockchain, Unusual Behavior, Face Recognition, Criminal Identification.