Automated Vacancy Detection in a Parking-lOT using Image Processing and Remote Access to Real-Time State (original) (raw)

An Implementation of Vacant Parking Space Detection System

International Journal of Advance Engineering and Research Development, 2015

Now a days, finding a vacant parking space in urban areas is very time-consuming. Previous vacant parking space detection systems are very high expensive due to hardware requirement for each parking lot (like sensors). In this paper we propose low cost video-based parking space detection system. The aim o f this paper is to present an intelligent system for parking lot detection based on image processing. The system captures the images and processes and produces the information of an empty vehicle parking spaces. This system operates day and ni ght. There are many challenges during day and night time like lighting conditions, shadow effects, inter-object occlusion etc.

A Smart Image Processing-based System for Parking Space Vacancy Management

International Journal of Computer Applications

Drivers often encounter problems associated with locating empty parking slots in parking areas. This paper presents a smart parking lot management system which operates using image processing. An image processing algorithm is used to detect empty parking areas from aerial images of the parking space. The algorithm processes the image, extracts occupancy information concerning spots, and their positions thereof. The system also reports if individual parking spots are occupied or otherwise. Occupancy information is made available to newly arriving drivers by projecting it unto large displays positioned at vantage points near the vicinity. The smart parking lot management system reduces the stress and time wastage associated with car parking and makes management of such areas less costly.

A Comprehensive Study of Real-Time Vacant Parking Space Detection Towards the need of a

AIUB Journal of Science and Engineering , 2020

Detection of vacant parking space is becoming a challenging task gradually. Space utilization and management of vehicle space is now a demandable field of research. Searching for an empty parking space in congested traffic is a time-consuming process. The existing vacant parking space detection methods are not robust or generalized for images captured from different camera viewpoints. Finding a proper parking space in a busy city is really a challenging issue and people are facing this problem on a daily basis. The main purpose of this research is to comprehensively discuss the previous researches of vacant parking space detection and compare them from different aspects. Methods used in previous researches are descriptively discussed along with their advantages and disadvantages. The frameworks of previous researches were compared on six generalized phases and the experimental results are compared in terms of dataset, accuracy, processing time and other performance measures. This research also focuses on the challenges of vision-based vacant parking space detection which will contribute to future researches and researchers can work to overcome these challenges.

A Novel Intelligent Image-Processing Parking Systems

Artificial Intelligence and Machine Learning

The scientific community is looking for efficient solutions to improve the quality of life in large cities because of traffic congestion, driving experience, air pollution, and energy consumption. This surge exceeds the capacity of existing transit infrastructure and parking facilities. Intelligent Parking Systems (SPS) that can accommodate short-term parking demand are a must-have for smart city development. SPS are designed to count the number of parked automobiles and identify available parking spaces. In this paper, we present a novel SPS based on real-time computer vision techniques. The proposed system provides features including: vacant parking space recognition, inappropriate parking detection, forecast of available parking spaces, and directed indicators toward various sorts of parking spaces (vacant, occupied, reserved and handicapped). Our system leverages existing video surveillance systems to capture, process image sequences, train computer models to understand and inte...

A Comprehensive Study of Real-Time Vacant Parking Space Detection Towards the need of a Robust Model

AIUB Journal of Science and Engineering (AJSE), 2020

A prototype of parking space information system based on Image Processing

Jurnal Rekayasa Elektrika

An automatic parking system has been proposed to make the car parking process more efficient in terms of time and cost. The absence of information on the position of the parking lot makes the car driver take longer to find it. In multi-story parking lots, officers cannot constantly monitor the available parking conditions directly, so prospective parking users do not know the position of the open parking space. In addition, many parking lots use automatic door latch, but no parking space information display. Parking system automation can be based on hardware, software, or a combination of hardware and software. To the best of our knowledge, no software-based framework is entirely used on this system. Therefore, this study proposes an automatic parking system based on camera sensors and software, which is combined into an information system. The proposed method uses simple morphological operations. Based on the test results, the detection accuracy achieved is 100% with a light intens...

A multi-classifier image based vacant parking detection system

2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS), 2013

With the rapid expansion of major cities, the tremendous increase in the number of vehicles, and the construction of huge buildings and parking areas, there is a need to develop smart parking systems to assist drivers finding the nearest available parking spots. Such systems have witnessed substantial research efforts in developed countries. There are mainly four categories of car parking management systems: counter-based, wired-sensor-based, wireless-sensorbased, and image-based. In this paper, we develop, implement, and test an image-based system for the detection of vacant spaces in a parking area. Following an initial edge detection stage, we combine edge density, closed contour density, and foreground/background pixel ratio, at every car parking spot, to identify whether a car is present or not. Combining the features above results in a robust vacant space detection system at low computational cost.

Vacant Parking Space Detection in Static Images

Current parking space vacancy detection systems use simple trip sensors at the entry and exit points of parking lots. Unfortunately, this type of system fails when a vehicle takes up more than one spot or when a parking lot has different types of parking spaces. Therefore, I propose a camera-based system that would use computer vision algorithms for detecting vacant parking spaces. My algorithm uses a combination of car feature point detection and color histogram classification to detect vacant parking spaces in static overhead images.

IMPLEMENTATION OF IMAGE PROCESSING IN REAL TIME CAR PARKING SYSTEM

Car parking lots are an important object class in many traffic and civilian applications. With the problems of increasing urban traffic congestion and the ever increasing shortage of space, these car parking lots are needed to be well equipped with automatic parking Information and Guidance systems. Goals of intelligent parking lot management include counting the number of parked cars, and identifying the available location. This work proposes a new system for providing parking information and guidance using image processing. The proposed system includes counting the number of parked vehicles, and identifying the stalls available. The system detects cars through images instead of using electronic sensors embedded on the floor. A camera is installed at the entry point of the parking lot. It captures image sequences. The image sequences are then analyzed using digital image processing for vehicle detection and according to the status of vehicle occupancy inside, real time guidance and information is provided to the incoming driver.

Innovative Way to Check the Status of Vacancy in Outdoor Parking Lots

International Journal of Engineering and Advanced Technology

With the unprecedented increase in number of private vehicles, the availability of parking space has become a daunting task for vehicle owners. Be it a shopping mall or a government building, it is hard for drivers to find an appropriate space almost everywhere in the present times. This makes it necessary to find out novel ways to resolve the issues regarding car-parking. Though there are many systems in place for detection of space availability, but one has to shed huge amounts for their implementation. Also there are constraints in using rides-based technologies as they do not consider climatic changes and conditions. The study consists of designing a hybrid model to detect outdoor parking vacant lots and the lots getting vacant in the real-time scenario. The dataset for training, validating and testing the system is extracted from online source which consists of various images of parking lots collected from varied heights and angles. The proposed work in this paper is the advanc...

Automated Vacancy Detection in a Parking-lOT using Image Processing and Remote Access to Real-Time State (original) (raw)

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