Combining Cloud Computing and Artificial Intelligence Scene Recognition in Real-time Environment Image Planning Walkable Area

• Main Authors: Jia-Shing Sheu, Chen-Yin Han
• Format: Article
• Language: English
• Published: Taiwan Association of Engineering and Technology Innovation 2020-01-01
• Series: Advances in Technology Innovation
• Subjects: TensorFlow; computer vision; neural network; scene recognition; cloud computing
• Online Access: http://ojs.imeti.org/index.php/AITI/article/view/4284
• ISSN: 2415-0436; 2518-2994

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.