ダンプに積載された建設廃棄物の種類・重量推定のための画像認識AIに関する基礎的検討

鳥澤 一晃; 清水 泰成

doi:10.60316/jcossar.10.0_326

The 10th Japan Conference on Structural Safety and Reliability

Session ID : OS4-1B

DOI https://doi.org/10.60316/jcossar.10.0_326

Conference information

Host: Science Council of Japan

Co-host: Japan Society for Safety Engineering, The Japanese Geotechnical Society, Japan Society of Civil Engineers, The Japan Society of Mechanical Engineers, Architectural Institute of Japan, The Japan Society for Aeronautical and Space Sciences, The Society of Materials Science, Japan, The Japan Society of Naval Architects and Ocean Engineers

Name : The 10th Japan Conference on Structural Safety and Reliability

Number : 10

Location : [in Japanese]

Date : October 25, 2023 - October 27, 2023

Type B (Abstract review)

Basic Study on Image Recognition AI for Estimating The Type and Weight of Construction Waste Loaded on A Dump Truck

Kazuaki TORISAWA, Yasunari SHIMIZU

Author information

Keywords: Construction waste, Image recognition, Convolutional neural network

CONFERENCE PROCEEDINGS FREE ACCESS

Details

Abstract

The asphalt mixture plant receives construction waste, crushes it, and reuses it as a raw material for recycled asphalt mixture. Currently, workers identify the type and measure the weight of construction waste on each dump truck, resulting in queues and traffic jams during busy periods. In this research, a basic study was conducted for estimating the type and weight of construction waste by image recognition of deep learning using image data taken from above a dump truck. Although the number of data used was not large, the model was built with some estimation accuracy.

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