Crime has increased at airports, train stations, and other crowded places whose passengers’ safety is under risk. The surveillance system presently developed has high technological complexities that are not capable of identifying such risks. Modern technologies applied in the Criminal Detection Surveillance System are set to overcome such a situation and give complete security. The core purpose is to have a system that can identify criminals with facial recognition, knows who has weapons, and flags and holds photos of individuals appearing anxious or endangered by detecting their body temperatures. The need for this solution is in the fact that complex criminal operations are increasingly finding loopholes that threaten the safety and efficiency of surveillance systems. This research combines cutting-edge AI-driven video analytics with real-time monitoring strategies, thereby bridging knowledge gaps for improved identification and reaction speed and accuracy. Why this work is important: because the system will be able to give a strong, automated, and intelligent security solution for the airport, thereby making security at airports much improved and travel safer and more effective.