Automated Sensing System for Real-Time Recognition of Trucks in River Dredging Areas Using Computer Vision and Convolutional Deep Learning

Automated Sensing System for Real-Time Recognition of Trucks in River Dredging Areas Using Computer Vision and Convolutional Deep Learning

Sand theft or illegal mining in river dredging areas has been a problem in recent decades. For this reason, increasing the use of artificial intelligence in dredging areas, building automated monitoring systems, and reducing human involvement can effectively deter crime and lighten the workload of s...

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Bibliographic Details
Main Authors: Jui-Sheng Chou, Chia-Hsuan Liu
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
automated sensing system
dredging construction site
computer vision
convolutional neural networks
object detection
multi-class classification
Online Access:https://www.mdpi.com/1424-8220/21/2/555

Internet

https://www.mdpi.com/1424-8220/21/2/555

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