Using Image Processing Indoors for Localization and Optimal Path Determination

The project is designed to address the issue of indoor localization and finding the optimal path using image processing and machine learning. The purpose of the project is to use labels for indoor localization and determine the shortest path to reach a target destination while relying on those labels to detect movement and current location. The aim is to be able to constantly track the position and provide an optimal path to reach a certain destination depending on that position. This concept will be used to navigate inside big constructions such as supermarkets by detecting labels that will determine the current position of the model. From this detection, we will determine how the device should move to reach a specific target location. 

Project Details