Vehicle Owner Identification from Number Plate

2022 ◽  
pp. 131-138
Author(s):  
Harsh Vashishtha ◽  
Gopal Sharma ◽  
Abhishek Malik ◽  
Shweta Paliwal ◽  
Aanjey Mani Tripathi
Keyword(s):  
Vehicle Owner

scholarly journals The L3Pilot Data Management Toolchain for a Level 3 Vehicle Automation Pilot

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 809 ◽  
Author(s):  
Johannes Hiller ◽  
Sami Koskinen ◽  
Riccardo Berta ◽  
Nisrine Osman ◽  
Ben Nagy ◽  
...  
Keyword(s):  
Data Management ◽  
Reference Architecture ◽  
Automated Driving ◽  
Iterative Processing ◽  
Vehicle Owner ◽  
Level 3 ◽  
System Functioning ◽  
Comprehensive Test ◽  
Vehicle Automation ◽  
Set Up

As industrial research in automated driving is rapidly advancing, it is of paramount importance to analyze field data from extensive road tests. This paper investigates the design and development of a toolchain to process and manage experimental data to answer a set of research questions about the evaluation of automated driving functions at various levels, from technical system functioning to overall impact assessment. We have faced this challenge in L3Pilot, the first comprehensive test of automated driving functions (ADFs) on public roads in Europe. L3Pilot is testing ADFs in vehicles made by 13 companies. The tested functions are mainly of Society of Automotive Engineers (SAE) automation level 3, some of them of level 4. In this context, the presented toolchain supports various confidentiality levels, and allows cross-vehicle owner seamless data management, with the efficient storage of data and their iterative processing with a variety of analysis and evaluation tools. Most of the toolchain modules have been developed to a prototype version in a desktop/cloud environment, exploiting state-of-the-art technology. This has allowed us to efficiently set up what could become a comprehensive edge-to-cloud reference architecture for managing data in automated vehicle tests. The project has been released as open source, the data format into which all vehicular signals, recorded in proprietary formats, were converted, in order to support efficient processing through multiple tools, scalability and data quality checking. We expect that this format should enhance research on automated driving testing, as it provides a shared framework for dealing with data from collection to analysis. We are confident that this format, and the information provided in this article, can represent a reference for the design of future architectures to implement in vehicles.

scholarly journals Implementation of IoT based vehicle theft detection and accident monitoring system using Arduino

2018 ◽  
Vol 7 (2.7) ◽  
pp. 331
Author(s):  
Krishna Manogna N ◽  
Jeevan Chandra Y ◽  
Venkata Ratnam Kolluru
Keyword(s):  
Monitoring System ◽  
Tracking System ◽  
Vehicle Tracking ◽  
Efficient System ◽  
Vehicle Theft ◽  
Vehicle Owner ◽  
Vehicle Accident ◽  
Time Period ◽  
Vehicle Tracking System

This paper presents an efficient system which detects the vehicle accident and sends intimation to the registered mobile numbers such as ambulance or vehicle owner or police etc. IOT based vehicle tracking system detect the Accidents and it sends the position of the vehicle to the specified or pre-programmed mobile number as an SMS. Not only prohibited the accidents. It also prevents the vehicle from theft. If we want opening the door of the vehicle then we need to press a button. Now the owner of the vehicle gets an SMS to grant access. The door will be opened after the authentication only. If an unknown one tries to open the door of the vehicle then you can restrict that person by using mobile. The GPS is used for tracking the vehicle in this system. If any accident detected then an alert will be given with buzzer. Now the driver can press button to stop that. If it is small accident, here the driver can stop the buzzer if the vehicle is safe with in time period. Otherwise an alert will be sent to the owner of the car. It indicates that the person in car or car in trouble.

scholarly journals Obligations of beneficiary and arising rights in the insurance contract – A Comparative, analytical study –: الأساس القانوني لمسؤولية المؤمن له الناشئة عن عقد التأمين – دراسة مقارنة –

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Muneer Ali Hulaiel
Keyword(s):  
Traffic Accidents ◽  
Civil Law ◽  
Insurance Contract ◽  
Insurance Law ◽  
Vehicle Accidents ◽  
Vehicle Owner ◽  
Legal Provisions ◽  
General Rules ◽  
Financial Consequences ◽  
Car Accident

In this study, the obligations of the beneficiary and his rights to the insurance contract were dealt with as an impact on the insurance contract, which is of interest at present, which is not comparable to any different types and forms of insurance, indicating that the legislation in question has intervened and imposed some types of legal provisions, as in the case of insurance from liability arising from traffic accidents. This is due to the mandatory insurmountably of each vehicle owner, given the risks caused by the damage caused by vehicle accidents and the financial consequences of those responsible for these damages and the aim of this study to address the issue by analysis and comparison between Jordanian civil law, UAE civil transaction law and Egyptian civil law. We referred to some special legislation on compulsory car accident liability insurance. One of the most notable findings is that comparative legislation did not include regulatory provisions for the insurance contract to the extent commensurate with its nature and importance. It is recommended is that there must be a modern, ideal insurance law instead of relying on general rules.

scholarly journals Vision-Based Parking Entry Control System

2018 ◽  
Vol 17 (2) ◽  
pp. 30-34
Author(s):  
Ahmad Ridhwan Wahap ◽  
Shahrulnafiin Saharudin
Keyword(s):  
Control Systems ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Intelligent Transportation System ◽  
Vision System ◽  
Intelligent Transportation ◽  
Vehicle Owner ◽  
Optical Character ◽  
Counting Algorithms ◽  
Recognition Technique

Vision-based control systems are very promising in the Intelligent Transportation System (ITS). This paper proposes a system that use the vision system to control vehicle entry at the bridge gate at a certain facility. The system detects the presence of the car and captures the front car image to proceed to plate recognition process. Vehicle plate region is extracted using the size filtering, image thresholding and object counting algorithms. Optical character recognition technique is used in the recognition module. The result from the recognition module is then compared to the record in the database for information like the vehicle owner name, type of car, etc. The overall system is implemented and simulated in LabVIEW and the performance of recognition is tested on the real image. The system can successfully detect and recognize the plate number with minimum error.

scholarly journals Reminder and Online Booking Features at Android-Based Motorcycle Repair Shop Marketplace

2020 ◽  
Vol 7 (1) ◽  
pp. 43-51
Author(s):  
Wayan Dony Mahendra ◽  
I Made Sukarsa ◽  
AA.Kt. Agung Cahyawan
Keyword(s):  
Data Storage ◽  
System Development ◽  
Implementation Process ◽  
Acceptance Testing ◽  
Repair Shop ◽  
Vehicle Owner ◽  
Development Life Cycle ◽  
Work Routines ◽  
Strongly Agree ◽  
Test User

Generally, vehicle service is a must for the vehicle owner. However, due to tight work routines, people often forget to service their vehicles. In addition, the service process is still using a manual system, such as taking a queue number which leads to the long queue of the service time. An Android-based Motorcycle Repair Shop Information System provides a solution to remind people to do a regular service on their vehicles with a reminder feature and make online bookings.  The system development uses the SDLC (System Development Life Cycle) method. The implementation process requires an Android smartphone and a computer device by using MySQL as data storage, Firebase as a notification sender, React native and Visual Studio Code are used for developing the system. The results of the UAT test (user acceptance testing) from 20 users show 55,8% answered agree to the display, features and flow of the system, 39,5% answered strongly agree to the three question parameters, and 4,7% answered disagree with the flow and display of the system.

scholarly journals Shape Optimization with Computer Fluid Dynamic (CFD) Analysis of Micro Electric Vehicle

2019 ◽  
Vol 8 (3) ◽  
pp. 19-22
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Fluid Dynamic ◽  
Human Mobility ◽  
Maximum Speed ◽  
Cfd Analysis ◽  
Wind Noise ◽  
Vehicle Owner ◽  
3D Data ◽  
Model Computer

Car drag reduction activities are parts of exterior body improvement which related to energy consumption, wind noise and stability of overall vehicle. Micro Electric Vehicle (MEV) has emerged as one of human mobility that aligned with the concept of low energy consumption. The concept has gained popularity due to its simplicity in design and manufacturing capability which in overall, leads to less energy consumption for both vehicle owner and manufacturer. The aim of this work is to design an MEV where the passenger’s anthropometry of 95th percentile male and 5th percentile female have been considered as a main factor. 3D data of MEV has been developed based on scaled down conceptual design from clay model. Computer Fluid Dynamic (CFD) analysis were used on actual size of MEV to determine the effect of the vehicle height. Maximum speed of 30m/s has been introduced in the analysis. The speed is a simulation from real world condition of mobility which will be the limit speed of the vehicle. As a result the 128mm increase in streamline height has significant impact on the drag force where the drag coefficient increase approximately 31% to the initial height. As a conclusion CFD approach can be used to successfully determine an optimal height of MEV based on streamline design. The finding significantly assist in future improvement of streamline design of the MEV.

scholarly journals Vehicle Owner Recognition and Speed Estimation through LPD using Deep learning (VORSELD)

2021 ◽  
Vol 40 ◽  
pp. 01005
Author(s):  
Mudit Shrivastava ◽  
Rahul Jadhav ◽  
Pranjal Singhal ◽  
Savita R. Bhosale
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
License Plate ◽  
Speed Estimation ◽  
Moving Vehicle ◽  
Detection Model ◽  
Vehicle Owner ◽  
Made In

As name characterizes understanding of a number plate accordingly, from past decades the use vehicles expanded rapidly, taking into account of this such a majority number of issues like overseeing and controlling trafficante keeping watch on autos and managing parking area zones to overcome this tag recognizer programming is required. The proposed work aims to detect speed of a moving vehicle through its license plate. It will fetch vehicle owner details with the help of CNN model. In this project the main focus is to detect a moving car whenever it crosses dynamic markings. It uses Tensor-flow with an SSD object detection model to detect cars and from the detection in each frame the license plate gets detected and each vehicle can be tracked across a video and can be checked if it crossed the markings made in program itself and hence speed of that vehicle can be calculated. The detected License plate will be forwarded to trained model where PyTesseract is used, which will convert image to text.

scholarly journals Application of Artificial Neural Network to ANPR: An Overview

2015 ◽  
Vol 4 (2) ◽  
pp. 143-152
Author(s):  
Harish Paruchuri
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Traffic Flow ◽  
Fast Moving ◽  
Detection Rate ◽  
Processing Time ◽  
Flow Mechanism ◽  
Moving Vehicle ◽  
Vehicle Owner ◽  
Paper Review

Vehicle owner documentation and traffic flow mechanism have contributed to a major issue in each country. From time to time it turns out to be challenging to detect car owners who fault traffic regulations. Hence, it of interest to us to investigate designs for automatic number plate detection structure as a clarification and proffer solution to this issue. There are several automatic number plate detection or recognition structure existing today. The structure is according to diverse methods nonetheless automatic number plate recognition is still a difficult job as many of the parameters such as a fast-moving vehicle, non-uniform car number plate, the language used in writing the vehicle number and various lighting situations may hinder 100% detection rate. Many of the structure-function underneath these boundaries. This paper review diverse methods of automatic number plate recognition considering success rate, picture size, and processing time as factors.  However, automatic number plate detection is recommended for traffic regulating agencies.  

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