2023 Volume 4 Issue 3 Pages 163-169
River space is a valuable open space where we can enjoy the richness of nature, water culture, and waterfront scenery. On the other hand, because it is a familiar space, there are many annoying and illegal behavior s such as illegal dumping of garbage and driving cars in the river channel. In addition, tasks such as restoration of the current situation and calling for attention are a burden on river management.
In this study, we are developing annoying and illegal behavior detection technology using CNN(Convolutional Neural Network) of the deep learning model for the purpose of improving river management and labor saving. In this paper, we conducted a demonstration experiment with a camera video analysis and warning system that implements the technology. The target locations are four locations in Yodo River where annoying and illegal behaviors occur frequently. As a result, the actual behavior was detected with high accuracy. And we showed the possibility that the warning based on the detection result contributes to the reduction of behavior.
