Work

Metro Seat Counter Using AI

Year: 2024

Type: article

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

Source: International Journal For Multidisciplinary Research

DOI: 10.36948/ijfmr.2024.v06i06.32355

Authors: Saurabh Yadav -, Denial Pegu -, Anmol Sharma -

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: hybrid

OpenAlex ID: W4405064481

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