Image Enhancement Using Surveillance System for Dead Zone

This paper presents a surveillance system that is capable of transmitting its geo location and the information from real time images to a central unit in no network zone. The system is further configured for using image processing and machine learning algorithms to deduce any suspicious object from the captured image. Thereby, the system is helpful in identifying threats in all kind of weather conditions on land and in oceans. The system is very efficient, cost effective and is simple in design. Once the threat is identified, the system transmits the information to the central unit through the LoRa by using certain communication protocols. Compared to existing devices, this system has the potential to reduce causalities by enhancing navigational and observational features in the surveillance sector.