When a disaster occurs, the normal commutation routes are disrupted. People get stuck at these disaster points and would be in trouble, hence people in those areas find it difficult to communicate and evacuation route to safe area is unknown. The aim of the paper is to predict safe routes to reach the refuge point from the disaster point. The prototype was developed using Arc geographic information system runtime SDK for Java Application and APIs in Eclipse. The system was developed with digital elevation model layer, and route layer for India basemap focused to Tamil Nadu. The safe route is found based on the elevation values of the area from the disaster point to a safe point. The developed system could be used by the relief providers to reach the disaster point and rescue victims.

Image analysis and understanding are used in various fields such as satellite imaging, robotic technologies, medical imaging, and defense. Image analysis is the process which involves extraction of meaningful information from images. Image annotation is the process of adding metadata to the image. The meaningful information is extracted based on the metadata available with the image. This research aims at understanding the input image and describing it to the user. The input image is segmented. The segments are annotated based on its properties such as color and shapes in it. The segment annotations are collected and processed to get the overall meaning of the image. This research would improve image search, inform the user about the image even if the image is not displayed due to compatibility issues, and it is unmanned -no human assistance required to understand and display the image contents.