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Now a days, society is facing with major problem which is traffic congestion. The number of parking slots in the cities increases extra fuel burned at the time of searching for the parking slots the particular person has to search if there is empty space in the slot or occupied by any vehicle and the engine keeps running till the time because of that the vehicles loses fuel and a person uses time. For that problem, Deep Learning algorithms are used for the direct empty slots or occupied by any vehicle through information of wheelers. The system not only locates open parking spaces for cars but also identifies suitable spaces for two-wheelers. Notably, the proposed system demonstrates enhanced accuracy. To streamline the process, a web application has been developed for convenient slot booking, offering a holistic solution to alleviate traffic congestion. The model identifies available parking spaces in a designated area.

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Deep Dive in Identifying Vacant Parking Spaces Using Deep Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Nagababu Kancharla,
  • T. V. Prasad,
  • Saikiran Andra,
  • Divya Bhavani Guttula,
  • K. Mohana Lakshmi

摘要

Now a days, society is facing with major problem which is traffic congestion. The number of parking slots in the cities increases extra fuel burned at the time of searching for the parking slots the particular person has to search if there is empty space in the slot or occupied by any vehicle and the engine keeps running till the time because of that the vehicles loses fuel and a person uses time. For that problem, Deep Learning algorithms are used for the direct empty slots or occupied by any vehicle through information of wheelers. The system not only locates open parking spaces for cars but also identifies suitable spaces for two-wheelers. Notably, the proposed system demonstrates enhanced accuracy. To streamline the process, a web application has been developed for convenient slot booking, offering a holistic solution to alleviate traffic congestion. The model identifies available parking spaces in a designated area.