Metro Seat Counter Using AI

Introduction of AFC gates and smart cards have reduced the wait time for passengers during travel. Passengers face overcrowding in selective coaches which provides inconvenience to passengers travelling long distances. We propose a facial recognition framework which can determine which coaches are overcrowded and which coaches are empty with the help of the camera fitted inside each coach. This framework can be integrated with the electronic signboards present on the platform

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-12-04
DOI
https://doi.org/10.36948/ijfmr.2024.v06i06.32355
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Metro Seat Counter Using AI

Sangeeta Yadav, Anmol Sharma, Denial Pegu -
International Journal For Multidisciplinary Research
Evacuation and Crowd Dynamics
article

Metro Seat Counter Using AI

Sangeeta Yadav, Anmol Sharma, Denial Pegu -
article en

Abstract

Introduction of AFC gates and smart cards have reduced the wait time for passengers during travel. Passengers face overcrowding in selective coaches which provides inconvenience to passengers travelling long distances. We propose a facial recognition framework which can determine which coaches are overcrowded and which coaches are empty with the help of the camera fitted inside each coach. This framework can be integrated with the electronic signboards present on the platform

International Journal For Multidisciplinary ResearchVol. 6(6)
Openalex Percentile: Top 71%
Evacuation and Crowd Dynamics
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Metro Seat Counter Using AI — Sangeeta Yadav, Anmol Sharma, et al. · International Journal For Multidisciplinary Research (2024) | TGRS Research Map | TGRS