Object Detection using YOLO to Search Project Details

whenever anyone wants to arrange any exhibition such as painting, science or project, it requires a good number of coordinators to describe an individual’s painting or projects details to the visitors. This manual process has many limitations like arranging of multiple coordinators with the capability of delivering information about a particular project effectively. To overcome this problem, an android based application name Innovation Gallery is proposed, which helps visitors to get the information related to that project as soon as they place the camera in front of object. Before visiting the gallery or exhibition, visitors need to install the proposed application on android mobile phone. Once they place the camera on the respective project of the gallery, it displayed the information related to that project on the mobile screen as augmented text. The proposed approach developed using the YOLO algorithm and successfully tested on image datasets of gallery projects. The given approach is compare with Unity for a similar type of image dataset. It performed well in terms of accuracy, but somewhat lagging in terms of speed.