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This paper discussed on automatic parking system and electronic parking fee collection based on vehicle number plate recognition. The aim of this research is to develop and implement an automatic parking system that will increase convenience and security of the public parking lot as well as collecting parking fee without hassles of using magnetic c...
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In this paper, we present an algorithm for real-world license plate recognition (LPR) from a low-quality image. Our method is built upon a framework that includes denoising and rectification, and each task is conducted by Convolutional Neural Networks. Existing denoising and rectification have been treated separately as a single network in previous...
This paper presents the technology of characters on the vehicle license plate recognition. The Viola-Jones method is used for distinguishing the area of the license plate on the basis of pre-trained Haar cascades. Convolutional neural networks analyzing the selected frames are used for recognition. Training procedure of neural networks is carried o...
![Figure 3. The process of detecting the character of the license plate [13]](profile/Aeri-Rachmad/publication/332141306/figure/fig1/AS:743100171444226@1554180295343/The-process-of-detecting-the-character-of-the-license-plate-13_Q320.jpg)
The main principle of license plate recognition is to recognize the characters in the license plate which indicates the identity of the vehicle. This research will provide a system which can be implemented to the automatic payment in highway. Indonesian license plate consists of two parts, every of which has certain characters. These characters may...
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... In addition to these applications, LPRS using artificial intelligence technologies is very important for traffic control. LPRSs' usage in traffic control includes [13], but is not limited to, sites [14], parking lots [15], highways [16], vehicle inspection stations [17], hospitals [18], public buildings [19], border gates [20], military zones [21], and universities [22]. The main purposes of the use of LPRS are to determine the position of vehicles passing a certain point, to identify the vehicle, to examine the vehicle's 122 behavior, and to provide traffic control [23]. ...
An license plate recognition system (LPRS) generally provides control and security. These systems are created using methods such as artificial intelligence, machine learning, artificial neural networks (ANN), deep learning, fuzzy logic, expert systems, and image processing. This study aims to create an LPRS using artificial intelligence and image processing techniques. The prepared system is for rectangular-sized plates. An LPRS consists of 3 main stages. The first stage is to detect the plate region. At this stage, converting to grayscale, bilateral filtering, canny filtering, and contour were applied to vehicle images. The second stage is to crop the plate region. In the second stage, the masking method was employed. The pytesseract algorithm was used to recognize license plate characters in the last stage. To create the system, Raspberry Pi 4 Single-Board Computer (SBC) was used for hardware; python programming language was utilized for software. The results showed that the system worked successfully at the rate of 100% in the first two stages and at the rate of 91.82% in the last stage. The results suggest that the system works successfully.
... Honghui Dong et al. work On the basis of a single magnetic sensor, work on a unique vehicle detection method is offered. The sensor's raw signal is changed into a signi cant form that [13]. In this arrangement, the vehicle is identified on the basis of a number plate. ...
... An ultrasonic sensor is used for the distance measured, number of vacant slots, and number of cars which already parked. M. M. Rashid, A. Musa, M. Ataur Rahman, and N. Farahana, A. Farhana [5] designed an Automatic Parking Management System .This system is implemented using Matlab. Data is collected from ultrasonic sensors of each Parking space. ...
In today scenarios uses of cars are increasing day by day, it creates problem for finding a vacant car parking space. To solve this problem, an automatic FPGA based secured car parking system is proposed in this paper. Moore based finite state modeling is used to implement a secured car parking system. This paper uses VHDL language to design secured car parking system. In this paper,Artix7 series FPGA board, Two IR sensors, Electric Security door lock 12V DC Solenoid, 12V DC Power Supply adapter, four channel Relay, Arduino uno board ,bread board are used to implement real time secured car parking system. Synthesis and simulation of proposed secured car parking are done using Xilinx VIVADO 2015.2.Proposed car parking system can be used in various applications such as Shopping Mall, Movie Theaters, Game Stadium, Public or Private offices, College or School etc.
... (1,2) However, such a parking system has a higher cost due to more equipment required, and its identification rate is not 100% because image recognition is easily affected by many environmental factors such as license plate defacement, light, and the angle of imaging. (3,4) Some image processing technologies can be used to enhance the performance of parking systems using license plate recognition. For example, a lightweight and high-performance multi-angle license plate character recognition model was proposed to reduce the complexity and computational complexity of traditional license plate recognition, whose identification rate was as high as 84.5%. ...
... Casual visitors who have not installed the tags would be excluded. Another approach to detect vehicles at the entrance and exit of the car park is to through License Plate Recognition (LPR) technology [116,117]. LPR cameras can be deployed to automatically record license plate number and provide access control in restricted parking lot. This solution of monitoring usage of parking spaces is much more cost effective then the sensor network solution where a sensor is required at each parking bay. ...
University campuses are essentially a microcosm of a city. They comprise diverse facilities such as residences, sport centres, lecture theatres, parking spaces, and public transport stops. Universities are under constant pressure to improve efficiencies while offering a better experience to various stakeholders including students, staff, and visitors. Nonetheless, anecdotal evidence indicates that campus assets are not being utilised efficiently, often due to the lack of data collection and analysis, thereby limiting the ability to make informed decisions on the allocation and management of resources. Advances in the Internet of Things (IoT) technologies that can sense and communicate data from the physical world, coupled with data analytics and Artificial intelligence (AI) that can predict usage patterns, have opened up new opportunities for organisations to lower cost and improve user experience. This thesis explores this opportunity via theory and experimentation using UNSW Sydney as a living laboratory.
... Pattern recognition algorithms were also applied to read license plates of vehicles for the purposes of traffic surveillance (27,28), trip routing estimation (29,30), and parking management systems (31). Any license plate recognition system deals with three main subtasks: license plate detection (LPD), license plate segmentation (LPS), and character recognition (CR) (32)(33)(34). ...
Conducting hazardous materials (HAZMAT) commodity flow studies (CFS) is crucial for emergency management agencies. Identifying the types and amounts of hazardous materials being transported through a specified geographic area will ensure timely response if a HAZMAT incident takes place. CFS are usually conducted using manual data collection methods, which may expose the personnel to some risks by them being subjected to road traffic and different weather conditions for several hours. On other hand, the quality and accuracy of the collected HAZMAT data are affected by the skill and alertness of the data collectors. This study introduces a framework to collect HAZMAT transportation data exploiting advanced image processing and machine learning techniques on video feed. A promising convolutional neural network (CNN), named AlexNet was used to develop and test the automatic HAZMAT placard recognition framework. A solar powered mobile video recording system was developed using high-resolution infra-red (IR) cameras, connected to a network video recorder (NVR) mounted on a mobile trailer. The developed system was used as the continuous data collection system. Manual data collection was also conducted at the same locations to calibrate and validate the newly developed system. The results showed that the proposed framework could achieve an accuracy of 95% in identifying HAZMAT placard information. The developed system showed significant benefits in reducing the cost of conducting HAZMAT CFS, as well as eliminating the associated risks that data collection personnel could face.
... There are numerous frameworks existing for leaving however they have a few merits just as demerits. One of the strategy for shrewd leaving framework depends on picture handling method which is significant expense and the client needs to scan every single opening for the free space [2][3][4][5][6]. A few techniques utilize the camera which will get harm in the stormy seasons. ...
In interconnection and automation of different physical gadgets, vehicles, home machines and different things, the internet of things (IoT) innovation plays a critical role.These objects associate and deal information with the assistance of software, different sensors, and actuators. A human's standard of life and living are improved with this automation of gadgets, which is a forthcoming need. In this paper we talked about a similar requirement for instance, a smart car parking system which empowers a driver to discover a parking area and a free slot in that parking area inside a city. This paper focus on drcreasing the time squandered on discovering parking area. This in turn diminishes the fuel utilization and way of life. With the exponential increment in the quantity of vehicles and total population, vehicle accessibility, use out, about starting late, finding a space for parking the vehicle is turning out to be increasingly more troublesome with realizing the amount of conflicts, for example, automobile overloads. This paper is connected to making a trustworthy system that accept authority over the undertaking of recognizing free slots in a parking area and keeping the record of vehicles left in an extremly methodical way. The predicted system decreases human effort at the parking area generally, for example, in case of looking of free slots by the driver and calculating the portion for each vehicle using parking area. The different advances engaged with this system are vehicle unique proof utilizing RFID labels; free slot discovering utilizing Ultrasonic sensors and payment count is done based on time of parking.
... Smart car parking system using Arduino [66], IR sensors [67], Raspberry-PI [68], IoT [69], and with the android mobile application [70] has been proposed. Intelligent parking space detection system based on Image segmentation [71] and parking fee collection based on number plate recognition [72] is also discussed. Smart parking reservation system using RF-ID [73], GSM [74], Ultrasonic [75] based presented while smart parking guidance system using 360 camera and Haar-Cascade Classifier [76] is also introduced. ...
Our proposed system has seven main contributions, i.e., Smart street lights, Smart home, Bio-metric door and home security system, Intelligent traffic lights management and road security system, Private and smart parking, Intelligent accident management system and Smart information display/ notice board system. Our prototypes / products employ Arduino UNO board, Node MCU, Ultrasonic sensor, Fingerprint module, Servo motors, GSM, GPS, LEDs, Flame Sensor, Bluetooth and Wi-Fi module etc. We are very confident that our proposed systems are efficient, reliable, and cost-effective and can be easily tested and implemented on a large scale under real conditions.
... Although these two identification (ID) approaches are simple and cheap, it is inconvenient for the driver because manual operation is required. Using the technology of license plate recognition realizes automatic ID and control; (2,3) however, such a parking system requires expensive infrastructure and the ID rate is not 100% because image recognition is easily affected by many environmental factors, such as light conditions and the angle of imaging. (2) An uncooled infrared (IR) camera, (4) a type of thermal sensor for measuring IR radiation, (5) is also used to capture nighttime vehicle images, and it can reduce image noise when stabilized at an operating temperature. ...
More parking systems are developing toward automatic identification (ID) and control, where infrared (IR) technology is a low-cost and the most used approach for data transmission and ID. However, interference is caused by sunlight or two neighboring vehicles in a conventional IR-sensor-based parking system; therefore, a new methodology using a split transmitter/receiver (TX/RX) installation on a roadside unit (RSU) is proposed in this paper. The TX and RX modules are placed upward and downward on an on-board unit (OBU) device, respectively. Therefore, the proposed parking system can reduce the impact of sunlight on the RX module of the OBU device and reduce the signal interference caused by two neighboring vehicles in the sensing zone. Furthermore, the ID stability of the conventional RSU system can be increased.
... The connection between an Infrared sensors & Arduino board will be provided through 3 wire and the dc servo motor can be operated through 2 connections. Pin configuration of the Arduino circuit board will be done through the simple programming language which will be written and implemented through the Arduino IDE [3], [4], [5]. Every authorized parking user have IP address. ...
