Computer Vision-Based System for Locating and Counting Vacant Parking Lot

Ravipati, N.V. Vishnumurthy; Mondreti, V R Narasimharao; Satti, Satish Kumar; Gurugunti, Chandra Sekhar; Jakkampudi, V N S Lalitha

doi:10.1109/icdsis55133.2022.9915916

Cited by 1 publication

(1 citation statement)

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“…Similarly an image-based system for detecting vacant spaces in parking areas, combining edge density, closed contour density, and foreground/background pixel ratio for robust detection at low computational cost was proposed [18]. Later many researches have proposed different methods [19,20,21,22] in order to address this parking space problem. While IoT was bringing the physical things into the digital world, its architectural model as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Methodology for Developing an IoT-based Parking Space Counter System using XNO

Tiruvayipati,

Yellasiri,

Narayandas

et al. 2024

SCPE

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The Blockchain-IoT integration is treated as the future technological value by many adopters despite the cost or complexity involved. But, there are technological advancements brought in by communities that make solutions affordable and simple to the fact that they can be used in applications such as parking space counters. This research portrays use of XNO which is a digital currency in an alternative way to keep track of available parking spaces via IoT nodes installed at entry and exit points of parking lots. The available parking spaces data using this approach can be displayed on LED boards at the entry point of the parking lots and on a website for remote status view. An add-on for this research is the issue of entry tickets with timestamp and unique ID by using the block data during asset transfer. This research can be further enhanced for collection of parking fees by the help of IoT nodes at the exit points of the parking lots.

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