Decommissioning plan of nuclear facilities require the radiological characterizations and the establishment of a decommissioning process that can ensure the safety and efficiency of the decommissioning workers. By utilizing the rapidly developed ICT technology, we have developed a technology that can acquire, analyze, and deliver information from the decommissioning work area to ensure the safety of decommissioning workers, optimize the decommissioning process, and actively respond to various decommissioning situations. The established a surveillance system that monitors nuclide inventory and radiation dose distribution at dismantling work area in real time and wireless transmits data for evaluation. Developed an evaluation program based on an evaluation model for optimizing the dismantling process by linking real-time measurement information. We developed a technology that can detect the location of dismantling workers in real time using stereovision cameras and artificial intelligence technology. The developed technology can be used for safety evaluation of dismantling workers and process optimization evaluation by linking the radionuclides inventory and dose distribution in dismantling work space of decommissioning nuclear power plant in the future.

Location based service and AR(Augmented Reality) techniques have been one of the most important areas in current computer games and mobile application. This paper presents GPU(Graphics Process Unit) based image recognition system for outdoor games and mobile application. In learning stage, we extract features from input image sequence and convert them into meta information in database. User captures then a query image that is sent to GPU based server system. The proposed system build a descriptor codebook using BRISK and SURF descriptors, and employs codebook with re-ranking information based on homography.