id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
aiti-4284	Jia-Shing Sheu; Chen-Yin Han	Combining Cloud Computing and Artificial Intelligence Scene Recognition in Real-time Environment Image Planning Walkable Area	2020	8	.pdf	application/pdf	3108	167	55	To achieve to mark walkable areas and relative coordinates, this study is divided into three parts: (1) The first part constitutes neural network object identification. The walkable area determined using the system, marked by BLUE COLOR Table 2 presents the detail of the detection, we chosen Google’s Tensorflow Object detection API “faster_rcnn_ inception_resnet_v2_atrous_coco” frozen model as object detection model, “ssd_mobilenet_v1_coco,” and “ssd_mobilenet Advances in Technology Innovation, vol. 5, no. 1, 2020, pp.	cache/aiti-4284.pdf	txt/aiti-4284.txt