A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Monitoring System for Detecting Non-inclusive Situations in Smart Cities
https://orcid.org/http://orcid.org/0000-0002-3444-4393
https://orcid.org/http://orcid.org/0000-0002-9553-8123
https://orcid.org/http://orcid.org/0000-0001-6876-0979
https://orcid.org/http://orcid.org/0000-0002-2829-1829
Disability is a very important issue in our society, as evidenced by frequent awareness campaigns. One specific area that deserves special attention is the creation and assessment of solutions that ensure the genuine inclusion of persons with disabilities in smart cities. In this regard, this work proposes a method for detecting non-inclusive situations for people with mobility problems and communicate such incidence to public services. The proposed approach intends to facilitate this task by automatically detecting obstacles in the environment and measuring the distance between each person and the different obstacles in order to identify potential non-inclusive situations. This is done through the combined use of OpenCV and YOLO-v5.
Monitoring System for Detecting Non-inclusive Situations in Smart Cities
https://orcid.org/http://orcid.org/0000-0002-3444-4393
https://orcid.org/http://orcid.org/0000-0002-9553-8123
https://orcid.org/http://orcid.org/0000-0001-6876-0979
https://orcid.org/http://orcid.org/0000-0002-2829-1829
Disability is a very important issue in our society, as evidenced by frequent awareness campaigns. One specific area that deserves special attention is the creation and assessment of solutions that ensure the genuine inclusion of persons with disabilities in smart cities. In this regard, this work proposes a method for detecting non-inclusive situations for people with mobility problems and communicate such incidence to public services. The proposed approach intends to facilitate this task by automatically detecting obstacles in the environment and measuring the distance between each person and the different obstacles in order to identify potential non-inclusive situations. This is done through the combined use of OpenCV and YOLO-v5.
Monitoring System for Detecting Non-inclusive Situations in Smart Cities
https://orcid.org/http://orcid.org/0000-0002-3444-4393
https://orcid.org/http://orcid.org/0000-0002-9553-8123
https://orcid.org/http://orcid.org/0000-0001-6876-0979
https://orcid.org/http://orcid.org/0000-0002-2829-1829
Disability is a very important issue in our society, as evidenced by frequent awareness campaigns. One specific area that deserves special attention is the creation and assessment of solutions that ensure the genuine inclusion of persons with disabilities in smart cities. In this regard, this work proposes a method for detecting non-inclusive situations for people with mobility problems and communicate such incidence to public services. The proposed approach intends to facilitate this task by automatically detecting obstacles in the environment and measuring the distance between each person and the different obstacles in order to identify potential non-inclusive situations. This is done through the combined use of OpenCV and YOLO-v5.
Monitoring System for Detecting Non-inclusive Situations in Smart Cities
Lect. Notes in Networks, Syst.
Castillo Ossa, Luis Fernando (editor) / Isaza, Gustavo (editor) / Cardona, Óscar (editor) / Castrillón, Omar Danilo (editor) / Corchado Rodriguez, Juan Manuel (editor) / De la Prieta Pintado, Fernando (editor) / Florez, Sebastian Lopez (author) / Briones, Alfonso González (author) / Pavón, Juan (author) / Fuentes-Fernández, Rubén (author)
Sustainable Smart Cities and Territories International Conference ; 2023 ; Manizales, Colombia
2023-09-02
12 pages
Article/Chapter (Book)
Electronic Resource
English
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