Canny Edge Detection Based Real-Time Intelligent Parking Management System

Trivedi, Janak; Devi, Mandalapu Sarada; Dhara, Dave

doi:10.20858/sjsutst.2020.106.17

Cited by 6 publications

(7 citation statements)

References 11 publications

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“…So, in a nutshell, camera-viewing angles, camera resolutions, and the heights at which cameras are situated are critical parameters for efficient real-time parking detection. The prototype model gives the best results in the articles by Trivedi et al (2017Trivedi et al ( , 2020aTrivedi et al ( , 2020b, when the camera is situated at 90 degree angles because it focuses only on specific parking locations with parked vehicles. Here, we assume the camera is situated at a height of 3 meters from the ground surface and at an angle of around 40 to 50 degrees.…”

Section: Discussionmentioning

confidence: 99%

“…A mono-camera-based parking module is explained by Davarci et al (2018) with the image-processing method, but a real-time parking demonstration is not presented in that study. A prototype model for a smart city parking system is established in Trivedi et al (2017Trivedi et al ( , 2020aTrivedi et al ( , 2020b; however, work for a real-time parking management system is not demonstrated there. A canny edge-detection-based real-time parking management system is explained in Trivedi et al (2020aTrivedi et al ( , 2020b with parking characteristics.…”

Section: Literature Surveymentioning

confidence: 99%

“…A prototype model for a smart city parking system is established in Trivedi et al (2017Trivedi et al ( , 2020aTrivedi et al ( , 2020b; however, work for a real-time parking management system is not demonstrated there. A canny edge-detection-based real-time parking management system is explained in Trivedi et al (2020aTrivedi et al ( , 2020b with parking characteristics. Real-time implementation is limited owing to many parameters, including environmental conditions, camera positions and camera resolutions.…”

Section: Literature Surveymentioning

confidence: 99%

“…Parking turnover and occupancy rates for a prototype model are represented in Figure 3 (Trivedi et al, 2020a(Trivedi et al, , 2020b. That indicates a combined result with an LCD screen display parking module and an Android mobile application with a real-time image, for the parking volume with parking capacity and parking index.…”

Section: Literature Surveymentioning

confidence: 99%

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Real-time parking slot availability for Bhavnagar, using statistical block matching approach

Trivedi

Mandalapu²,

Dave

2020

WJE

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Purpose The purpose of this paper is to find a real-time parking location for a four-wheeler. Design/methodology/approach Real-time parking availability using specific infrastructure requires a high cost of installation and maintenance cost, which is not affordable to all urban cities. The authors present statistical block matching algorithm (SBMA) for real-time parking management in small-town cities such as Bhavnagar using an in-built surveillance CCTV system, which is not installed for parking application. In particular, data from a camera situated in a mall was used to detect the parking status of some specific parking places using a region of interest (ROI). The method proposed computes the mean value of the pixels inside the ROI using blocks of different sizes (8 × 10 and 20 × 35), and the values were compared among different frames. When the difference between frames is more significant than a threshold, the process generates “no parking space for that place.” Otherwise, the method yields “parking place available.” Then, this information is used to print a bounding box on the parking places with the color green/red to show the availability of the parking place. Findings The real-time feedback loop (car parking positions) helps the presented model and dynamically refines the parking strategy and parking position to the users. A whole-day experiment/validation is shown in this paper, where the evaluation of the method is performed using pattern recognition metrics for classification: precision, recall and F1 score. Originality/value The authors found real-time parking availability for Himalaya Mall situated in Bhavnagar, Gujarat, for 18th June 2018 video using the SBMA method with accountable computational time for finding parking slots. The limitations of the presented method with future implementation are discussed at the end of this paper.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

See 2 more Smart Citations

Real-time parking slot availability for Bhavnagar, using statistical block matching approach

Trivedi

Mandalapu²,

Dave

2020

WJE

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“…The work presented in [ 17 ] have developed a simulation of the shared parking operation that considers the uncertainties with four parameters which are users, arrival, and departure time. The presented work in [ 18 ] involves the employment of a canny edge detection method and a USB camera to define the available parking slots. The work in [ 19 ] is used wireless vehicle detectors and magnetic sensors to define the availability of parking spaces.…”

Section: Related Workmentioning

confidence: 99%

A Smart Real-Time Parking Control and Monitoring System

Elfaki,

Messoudi,

Bushnag

et al. 2023

Sensors

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Smart parking is an artificial intelligence-based solution to solve the challenges of inefficient utilization of parking slots, wasting time, congestion producing high CO2 emission levels, inflexible payment methods, and protecting parked vehicles from theft and vandalism. Nothing is worse than parking congestion caused by drivers looking for open spaces. This is common in large parking lots, underground garages, and multi-story car parks, where visibility is limited and signage can be confusing or difficult to read, so drivers have no idea where available parking spaces are. In this paper, a smart real-time parking management system has been introduced. The developed system can deal with the aforementioned challenges by providing dynamic allocation for parking slots while taking into consideration the overall parking situation, providing a mechanism for booking a specific parking slot by using our Artificial Intelligence (AI)-based application, and providing a mechanism to ensure that the car is parked in its correct place. For the sake of providing cost flexibility, we have provided two technical solutions with cost varying. The first solution is developed based on a motion sensor and the second solution is based on a range-finder sensor. A plate detection and recognition system has been used to detect the vehicle’s license plate by capturing the image using an IoT device. The system will recognize the extracted English alphabet and Hindu-Arabic Numerals. The proposed solution was built and field-tested to prove the applicability of the proposed smart parking solution. We have measured and analyzed keen data such as vehicle plate detection accuracy, vehicle plate recognition accuracy, transmission delay time, and processing delay time.

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