EDGE DETECTION AND OBJECT IDENTIFICATION FOR VISION ENHANCEMENT AT RESCUE OPERATIONS USING DEEP LEARNING TECHNIQUES

In this modern world the rate of occurrence of accidents and military operation in dark and unpleasant goes on increasing. At this situation the rescue squad faces difficulty in navigation. The visual detection and object clarity is difficult in risky situations like rescue operations in dark environment, secret armed rescue and military based operations. Due to this difficulty the failure rate of the operation is high. The proposed idea based on AI -Deep Learning technology provides better clarification on edge detection and enhances the vision with the help of OpenCV (Computer Vision Library) and other frameworks. Data transmission and Image processing is implemented with the help of raspberry pi. The object identification is implemented in the dark environment. This makes the navigation of the rescue quad inside the operation make easier. To provide visual enhancement for the structures of buildings and objects during rescue operation and also the visual projection of object structures in secret operations at military. The real time object edges and classification of objects and internal structures of environment is projected based on the user comfortless.