Flood discharge safety inspection management system based on convolutional network
The invention provides a flood discharge safety inspection management system based on a convolutional network. The flood discharge safety inspection management system comprises a data access module; the unmanned aerial vehicle route management module is used for configuring unmanned aerial vehicle p...
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creator | YANG ZAOJI ZHOU ZHONGYANG MO RONGCAN LI YA YANG HUPING RAN AIMIN YANG MENG LIANG FENYONG GAN YINBO SONG XINGHAI HUANG BAORAN YANG WEI ZHANG HANG PENG JIACHANG |
description | The invention provides a flood discharge safety inspection management system based on a convolutional network. The flood discharge safety inspection management system comprises a data access module; the unmanned aerial vehicle route management module is used for configuring unmanned aerial vehicle parameters, and the unmanned aerial vehicle is used for shooting a riverway picture; an inspection task management module; the river channel region management module is used for carrying out region division and management on the river surface of the river channel; the image library management module is used for managing a background image library and a real-time image; the recognition model based on the convolutional network is used for performing feature extraction and classification on a to-be-recognized target; and the result pushing module is used for pushing the target identification information to a system user terminal, and the technical problems of time and labor waste and low efficiency of manual inspection |
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The flood discharge safety inspection management system comprises a data access module; the unmanned aerial vehicle route management module is used for configuring unmanned aerial vehicle parameters, and the unmanned aerial vehicle is used for shooting a riverway picture; an inspection task management module; the river channel region management module is used for carrying out region division and management on the river surface of the river channel; the image library management module is used for managing a background image library and a real-time image; the recognition model based on the convolutional network is used for performing feature extraction and classification on a to-be-recognized target; and the result pushing module is used for pushing the target identification information to a system user terminal, and the technical problems of time and labor waste and low efficiency of manual inspection</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE CALCULATING CHECKING-DEVICES COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES GENERATING RANDOM NUMBERS PHYSICS REGISTERING OR INDICATING THE WORKING OF MACHINES SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TIME OR ATTENDANCE REGISTERS VOTING OR LOTTERY APPARATUS |
title | Flood discharge safety inspection management system based on convolutional network |
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