ABSTRACT
Context: A portion of the users in the São Paulo Metro are people who have physical limitations and need the help of wheelchairs or other similar devices. In this way, the Metro stations have elevators that allow these users to move between the floors of the station. In order, for the elevator to be used, it is necessary for the user to call the operators of the stations, who, in turn, check if the user who is requesting access to the elevator fits the target audience. Problem: This type of request requires manual validation by station operators, causing interruptions in their work routines and delays in passenger travel. Solution: To implement and evaluate artificial intelligence methods for automatic detection of people in wheelchairs or other auxiliary devices. IS Theory: This project was idealized from the perspective of Customer Focus Theory. Method: The You Only Look Once (YOLOv5) neural network was implemented in the Mobility Aids database. Tests were performed considering the original and modified base, composed of a reduced number of images, aiming to assess whether the accuracy of the model remains even with reduced database data. Summary of Results: The results obtained show an average accuracy of more than 92% with the modified database. Contribution: The results corroborated our methodology and we will be able to test in Sao Paulo subway with real images. In a long term, It is expected that by automating such a task, operators will be less overloaded and passengers with reduced mobility will gain more autonomy.
- Gabriel Alves. 2022. Detecção de Objetos com YOLO – Uma abordagem moderna. https://iaexpert.academy/2020/10/13/deteccao-de-objetos-com-yolo-uma-abordagem-moderna/Google Scholar
- Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao. 2020. Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020).Google Scholar
- Brasil. 1988. Constituição da República Federativa do Brasil de 1988. Diário Oficial da União. http://www.planalto.gov.br/ccivil_03/leis/l7853.htmlGoogle Scholar
- Brasil. 1989. Lei n. 7.853, de 24 de Outubro de 1989. Dispõe sobre o apoio às pessoas portadoras de deficiência. Diário Oficial da União. http://www.planalto.gov.br/ccivil_03/leis/l7853.htmlGoogle Scholar
- Organização Mundial de Saúde. 2021. Assistive technology. https://www.who.int/news-room/fact-sheets/detail/assistive-technologyGoogle Scholar
- Jun Deng, Xiaojing Xuan, Weifeng Wang, Zhao Li, Hanwen Yao, and Zhiqiang Wang. 2020. A review of research on object detection based on deep learning. In Journal of Physics: Conference Series, Vol. 1684. IOP Publishing, 012028.Google Scholar
- Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. 2015. Region-based convolutional networks for accurate object detection and segmentation. IEEE transactions on pattern analysis and machine intelligence 38, 1 (2015), 142–158.Google Scholar
- Jonas Gomes and Luiz Velho. 2002. Computação gráfica: imagem. IMPA.Google Scholar
- Glenn Jocher. 2020. YOLOv5 by Ultralytics. https://doi.org/10.5281/zenodo.3908559Google ScholarCross Ref
- Bruno Henrique Pereira Marques. 2019. Avaliação de algoritmos baseados em deep learning para localizar placas veiculares brasileiras em ambientes complexos.Google Scholar
- Ricardo Meier. 2021. Mapa de estações do Metrô e CPTM. https://www.metrocptm.com.br/veja-o-mapa-de-estacoes-do-metro-e-cptm/Google Scholar
- Metrô-SP. 2013. Manual do Usuário com Deficiência. http://www.metro.sp.gov.br/metro/programa-visitas/pdf/manual_pessoa_com_deficiencia.pdfGoogle Scholar
- Metrô-SP. 2017. Portal da Transparência do Metrô - Pesquisa Origem e Destino. https://transparencia.metrosp.com.br/dataset/pesquisa-origem-e-destino/resource/b3d93105-f91e-43c6-b4c0-8d9c617a27fcGoogle Scholar
- Metrô-SP. 2022. Portal da Transparência do Metrô - Demanda. https://transparencia.metrosp.com.br/dataset/demanda/resource/a656b786-76a2-40b4-9a24-1326007b2cb3Google Scholar
- Tobias Mettler, Stephan Daurer, Michael A. Bächle, and Andreas Judt. [n. d.]. Do-it-yourself as a means for making assistive technology accessible to elderly people: Evidence from the ICARE project. Information Systems Journal n/a, n/a ([n. d.]). https://doi.org/10.1111/isj.12352 arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/isj.12352Google ScholarCross Ref
- Amir Mukhtar. 2022. Vision based system for detecting and counting mobility aids in surveillance videos.Google Scholar
- Amir Mukhtar, Michael J. Cree, Jonathan B. Scott, and Lee Streeter. 2018. Mobility Aids Detection Using Convolution Neural Network (CNN). In 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). 1–5. https://doi.org/10.1109/IVCNZ.2018.8634731Google ScholarCross Ref
- Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. 2016. You only look once: Unified, real-time object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition. 779–788.Google ScholarCross Ref
- Harichandana B S S, Vibhav Agarwal, Sourav Ghosh, Gopi Ramena, Sumit Kumar, and Barath Raj Kandur Raja. 2022. PrivPAS: A real time Privacy-Preserving AI System and applied ethics. In 2022 IEEE 16th International Conference on Semantic Computing (ICSC). 9–16. https://doi.org/10.1109/ICSC52841.2022.00010Google ScholarCross Ref
- Yuki Sakai, Huimin Lu, Joo-Kooi Tan, and Hyoungseop Kim. 2019. Recognition of surrounding environment from electric wheelchair videos based on modified YOLOv2. Future Generation Computer Systems 92 (2019), 157–161.Google ScholarDigital Library
- Konstantin Struebig, Niklas Ganter, Leon Freiberg, and Tim C Lueth. 2021. Stair and Ramp Recognition for Powered Lower Limb Exoskeletons. In 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 1270–1276.Google Scholar
- Secretaria dos Direitos da Pessoa com Deficiência do Estado de São Paulo. 2021. Estimativa populacional de pessoas com deficiência. https://basededadosdeficiencia.sp.gov.br/dadosestimativapopulacional2021.phpGoogle Scholar
- Marcelo Telles, Jorge Luis Barbosa, and Rodrigo Righi. 2016. Um Modelo Computacional para Acessibilidade em Cidades Inteligentes. In Anais do XII Simpósio Brasileiro de Sistemas de Informação (Florianópolis). SBC, Porto Alegre, RS, Brasil, 116–123. https://doi.org/10.5753/sbsi.2016.5953Google ScholarCross Ref
- Andres Vasquez, Marina Kollmitz, Andreas Eitel, and Wolfram Burgard. 2017. Deep detection of people and their mobility aids for a hospital robot. In 2017 European Conference on Mobile Robots (ECMR). IEEE, 1–7.Google ScholarCross Ref
- P Vijayalakshmi 2021. Development of Speech and Gesture Enabled Wheelchair System for People with Cerebral Palsy. In 2021 3rd International Conference on Signal Processing and Communication (ICPSC). IEEE, 620–624.Google Scholar
- Paul Viola and Michael Jones. 2001. Rapid object detection using a boosted cascade of simple features. In Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition. CVPR 2001, Vol. 1. Ieee, I–I.Google ScholarCross Ref
Index Terms
- Automatic detection of people with reduced mobility using YOLOv5 and data reduction strategy
Recommendations
Making Smart and Accessible Cities
SMARTGREENS 2016: Proceedings of the 5th International Conference on Smart Cities and Green ICT SystemsImproving citizens' quality of life is one of the main goals of Smart Cities development. Accessibility of urban public spaces absolutely determines the living conditions for people. Technology provides new opportunities of autonomy for an increasing ...
Measuring Public-Transport Accessibility Using Pervasive Mobility Data
How accessible is public urban transportation for people with disabilities? What are the metrics for measuring such accessibility? Using pervasive mobility data, the authors evaluate the quality of service for travelers in need of accessible public ...
On the independent and sustainable mobility of people with visual impairments
W4A '23: Proceedings of the 20th International Web for All ConferencePeople with blindness or visual impairments (BVI) use public transport to be independent in daily travel. The lack of this autonomy in travel can have an impact on sustainable mobility. This study investigates the independent mobility of people with ...
Comments