GIS Room Autonomous Inspection System Based on Multi-rotor UAV

Li, Qi; Dai, Yan; Han, Rui; Qi, Donglian; Yan, Yunfeng

doi:10.1109/icempe51623.2021.9509093

Cited by 3 publications

(1 citation statement)

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“…Zhang et al selected Yolo network for rough positioning, and then used SSD network for fine positioning of instruments [4]. Li et al utilized Mobilenetv2 to simplify the network, but its complexity still needed to be processed by the server, and only one category of meter was tested [5]. These methods are limited to the backbone network proposed for other general datasets, and the model parameters and calculations are not optimized according to the difficulty of instrument data.…”

Section: Introductionmentioning

confidence: 99%

A Lightweight Meter Detection Method Based on Yolov5

Shao

Лонг

et al. 2022

Modern Management Based on Big Data III

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With the deepening of industrial automation, a large number of edge intelligent devices are deployed in industrial meter detection. In view of the limited computing and storage capacity of these embedded devices, we propose a lightweight meter detection method. Our proposed method is based on the widely used Yolov5, the depthwise separable convolution and squeeze and excitation channel attention module are used to simplify the backbone and head of the network, and further prune the filters of convolution layers via geometric median. Finally, model parameters and floating-point operations are reduced to 0.250M and 0.687G on the premise of ensuring the effect of the meter detection.

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Section: Introductionmentioning

confidence: 99%