TY - JOUR AU - Jia-Shing Sheu, AU - Chen-Yin Han, PY - 2020/01/01 Y2 - 2024/03/28 TI - Combining Cloud Computing and Artificial Intelligence Scene Recognition in Real-time Environment Image Planning Walkable Area JF - Advances in Technology Innovation JA - Adv. technol. innov. VL - 5 IS - 1 SE - Articles DO - 10.46604/aiti.2020.4284 UR - https://ojs.imeti.org/index.php/AITI/article/view/4284 SP - 10-17 AB - <p>This study developed scene recognition and cloud computing technology for real-time environmental image-based regional planning using artificial intelligence. TensorFlow object detection functions were used for artificial intelligence technology. First, an image from the environment is transmitted to a cloud server for cloud computing, and all objects in the image are marked using a bounding box method. Obstacle detection is performed using object detection, and the associated technique algorithm is used to mark walkable areas and relative coordinates. The results of this study provide a machine vision application combined with cloud computing and artificial intelligence scene recognition that can be used to complete walking space activities planned by a cleaning robot or unmanned vehicle through real-time utilization of images from the environment.</p> ER -