【Author】
Li, Qiang; Qin, Long; Lu, Weizhi; Zhang, Yaqiang; Wang, Xu
【Source】JOURNAL OF NANOELECTRONICS AND OPTOELECTRONICS
【Abstract】In this paper, a three-dimensional image semantic segmentation method is studied. First, the data such as the equipment image in the computer room is obtained, and the data encryption and decentralized storage are completed through the consensus algorithm in the blockchain technology; Then transfer the data to the platform layer to realize the unified access, aggregation and distribution of the image data of the equipment in the machine room; Finally, the R-CNN method is used to introduce the FPN feature pyramid network to characterize the multi-scale image features of the equipment in the machine room. The candidate region generation network is used to obtain the region of interest of the equipment image, and the semantic segmen-tation of the three-dimensional image is realized through the classifier. The experimental results show that this method can accurately identify the equipment in the computer room and has good image data transmission IP: 203.8 109 10 On: Thu 16 Feb 2023 14:47:42 performance.
【Keywords】Fabric Architecture; Intelligent Power IOT; IDC Machine Room; Three-Dimensional Image; Semantic Segmentation; Deep Learning
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