DESIGN AND IMPLEMENTATION OF AN AUTONOMOUS VEHICLE FOR WASTE MATERIAL COLLECTION AND FIRE DETECTION

Year 2023, , 801 - 807, 16.12.2023

Orkun Aydın , Ersin Molla , Ferhat Karadağ , Burak Guzeltepe , Hakki Ulaş Ünal , Ömer Nezih Gerek

https://doi.org/10.31796/ogummf.1233759

Abstract

Autonomous vehicles are becoming increasingly popular in a variety of applications, including waste collection and fire detection. In this work, we present the design and implementation of an autonomous vehicle for these tasks in urban environments. The vehicle is equipped with sensors and control algorithms to navigate, detect and collect plastic bottle wastes, and detect fires in real-time. The system uses an off-the-shelf, small-sized, battery-operated vehicle, a simple conveyor belt, and a vision-based, computerized system. Machine learning (ML-) based vision tasks are implemented to direct the vehicle to waste locations and initiate the waste removal process. A fire detection and alarm system are also incorporated, using a camera and machine learning algorithms to detect flames automatically. The vehicle was tested in a simulated urban environment, and the results demonstrate its effectiveness in waste material collection and fire detection. The proposed system has the potential to improve the efficiency and safety of such tasks in urban areas.

Keywords

autonomous vehicles, real-time object detection, YOLO

Supporting Institution

Eskisehir Teknik Universitesi , Tubitak 2209 /A

Project Number

21LTP040 , 1919B012004030.

Thanks

This work was performed as a graduation project under courses EEM 413 (P) and EEM 414 (P) in the Dept. of Electrical and Electronics Eng. at Eskisehir Technical University. It was supported by Eskisehir Technical University Scientific Research Projects Commission under grant no: 21LTP040. It was also supported by TUBITAK 2209/A with grant no 1919B012004030. The authors would like to thank DEPARES for the mechanical part and Hisarlar Makine Inc. for providing us with all the required components.

ÇÖP MATERYALİ TOPLAMA VE YANGIN TESPİTİ İÇİN BİR OTONOM ARAÇ TASARIMI VE GERÇEKLEŞTİRİLMESİ

Abstract

Otonom araçların, çöp toplama ve yangın tespitini de içeren çok çeşitli uygulamalarda popülerliği artmaktadır. Bu çalışmada, kentsel alanlarda kullanılmak üzere bu uygulamalar için bir otonom araç tasarımı ve gerçeklemesi sunulacaktır. Araç, üzerinde bulunan algılayıcılar ve tasarlanan kontrol algoritmaları ile gerçek zamanda etrafını tarayıp plastik çöp şişelerini tespit edip toplayacak ve yangın tespiti yapacaktır. Sistem, özel olarak tasarlanmış ve akü ile çalışabilen küçük boyutlu bir araba, basit bir konveyör bant, görüntü tabanlı küçük bir bilgisayar sistemi kullanmaktadır. Aracı, çöplerin olduğu yere yönlendirip çöpü ayırma işlemini başlatması için Makine öğrenimi (ML-) tabanlı görüntü algoritmaları uygulanmıştır. Bir kamera ve alevleri otomatik tespit edecek makine öğrenme algoritmaları ile, yangın tespiti ve alarm sistemi de sisteme entegre edilmiştir. Araç, kentsel ortama benzetilmiş bir alanda test edilmiş ve edilen sonuçlar çöp materyali toplama ve yangın tespitinde ne kadar etkili olduğu göstermiştir. Önerilen sistem, kentsel alanlarda daha verimli ve güvenli olacak şekilde geliştirilebilir potansiyeli vardır.

Keywords

Otonom araçlar, gerçek-zamanda obje tespiti, YOLO

Project Number

21LTP040 , 1919B012004030.

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