- Open Access
- Authors : Parinitha J, Kokila C, Lekhana N, Likith C N, Nataraj B
- Paper ID : IJERTCONV10IS11077
- Volume & Issue : ICEI – 2022 (Volume 10 – Issue 11)
- Published (First Online): 27-08-2022
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
Amercement for Traffic Violation and Instinctive Traffic Control for Ambulance
Parinitha J¹
Dept. of Electronics and communication engineering S J C Institute of technology
Chickballapur, India
Lekhana N³
Dept. of Electronics and communication engineering S J C Institute of technology
Chickballapur, India
Kokila C²
Dept. of Electronics and communication engineering S J C Institute of technology
Chickballapur, India
Likith C N
Dept. of Electronics and communication engineering S J C Institute of technology
Chickballapur, India
Nataraj B
Dept. of Electronics and communication engineering S J C Institute of technology
Chickballapur, India
Abstract Road traffic accidents are a major cause of disability and death throughout the world. The control of vehicles in order to reduce human error and boost ease congestion is not accomplished solely by the aid of human resources. In this project, intelligent control system is capable of tracking all vehicles, crisis management and control, traffic guidance and recording driving offences along the highway. This automated system is designed to charge penalty for violating traffic rules using barcodes and web application, to radiate the ambulance symbol and make the signal green until the ambulance passes the signal using tracking system.
Keywords Accidents, intelligent control system, tracking, driving offence, penalty, web application, ambulance symbol.
-
INTRODUCTION
Violations in traffic law are very common in a highly populated country like India. The accidents associated with these violations cause a huge loss to life and property. Beinga metro city and a highly populated one also, has a lot of roadaccidents every year. Despite this the violations in traffic laws do not reduce. A lot of people disobey the rules every day sometimes willingly and sometimes because they are forced to do appropriate so because of others. Not obeying the traffic signals is observed mainly during the peak hours of traffic as everyone is in a rush to reach early.
The accidents associated with these violations cause a huge loss to life and property. In this project, automation is employed to capture the vehicles' number plates, which violate traffic rules (zebracrossing) during red signal then it deducts the money from vehicles owner account using barcode alike fast tags in highway tolls. The motor vehicles are recognized thereby message concerning the penalty intended to that person in case the vehicle doesnt have
proper documentation. It manages the ambulance arrival and departure at respective traffic signals.
-
METHODOLOGY
-
As the cameras are in every signal, it is easy for monitoring the movement of vehicles. If any vehicle violates protocol near traffic signal, then alike fast tagsin highway tolls it scans the barcode and deducts the money from vehicle owners account.
-
As there will be tracking system for every ambulance, it is convenient for tracking. At first, one extra ambulance symbol to a traffic signal is added. As the ambulance approaches the signal, the ambulance symbol will radiate and make the signal green until the Ambulance passes the signal. That gives a sign to othervehicles to provide space for the ambulance.
-
When any vehicle passes the signal, then the camera will capture the image of vehicle return detect the number plate.
-
It then sends that data to a real-time database. It fetchesthe information about the registered vehicles owner.
-
Ultimately the data accumulated is sent to the web application handled by the police department.
-
Eventually, the message concerning the penalty intended to the respective owner from the web application.
-
-
BLOCK DIAGRAM
Fig 1: Block diagram
At first, the Ambulance location is detected using the sensor. If it is detected in the range set in the project, thenit sends that data to the raspberry pi. From raspberry pi,it radiates the Ambulance symbol and makes the signal green until the ambulance crosses that signal. It gives the sign to other vehicles about ambulance arrival.
As there will be camera in every signal, it is easy for monitoring the movement of vehicles. If any vehicle violates the traffic rule (crosses zebra crossing) then alike fast tags in toll, it deducts the amount from the vehicle owners account.
It also captures the image of number plate of a vehicle and sends that to real time data base which return fetches the information regarding vehicles registration. It then sends that data to the web application handled by police department to intend the message regarding penalty to the vehicle owner, if it doesnt have proper registration details.
-
RESULTS
-
If anyone violates traffic protocol, then camera should capture the photo of a vehicle. Thereby it should scan barcode and deduct the money from vehicle owners account.
To start with RFID, it scans the card/token attached to the vehicles. The NodeMCU reads the signal and displays it on Arduino IDE serial monitor. Subsequently data get transfer to the real-time database as shown in the fig 2.
Fig 2: Arduino IDE
Fig 3: Real-time database
The data transferred from NodeMCU to real-time database (Google firebase) is shown in the fig 3. It then deducts the money using barcode.
-
When any vehicle passes the signal, then the photo of that motor vehicle is captured and should be sentto a real-time database. It then detects information regarding registration and about the vehicles owner and the message concerning the penalty intended to the vehicle owner through the web application managed by the police department, if the vehicle is not registered.
Fig 4: Number plate detection
-
-
ADVANTAGES
-
Cost effective: It reduces expenditure on camerasand GPS tracker system.
-
Easy to implement and efficient
-
It provides 24/7 monitoring
-
Provides Safety and protects from road accidents
-
It improves journey time.
-
Improved air quality from reducing air pollution generated by slow-moving traffic.
-
Reduced delays to Ambulance and publictransport.
-
Traffic speed control.
-
Automated alerts and controls for facilities
-
It provides evidence on tactical police
-
It decreases traffic violation
-
-
APPLICATIONS
-
Traffic signals: It gives sign to the other vehicles about arrival of ambulance.
-
Hospitals: It gives information to the hospital that an ambulance is nearby the hospital,and they have to be ready with emergency requirements.
-
Police department: It reduces the stress for the police who proctor the vehicles manually.
-
Airport: It can be used to know the details of cabs arrival and departure.
-
Shopping malls, Tourist places: It reduces the workof collecting bill.
Fig 5: Real-time database
Number plate deduction is shown in figure 4. It then transfers that data to real-time database which is shown in figure 5. Thereafter it verifies the vehicles registration details in database. If the data is not available, then that message is sent to the web application handled by the police department for further procedure.
3. If the ambulance is in the range of 500m, then the ambulance symbol in the traffic signal shouldradiateand signal should be green until the Ambulance pases the signal.
-
-
CONCLUSSION:
Violations in traffic laws are very common in a highly populated country like India. The accidents associated with these violations cause a huge loss to life and property. This project reduces the violation of traffic rulesas it charges penalty instantly either through barcode or web application depending on the kind of traffic rule violation. It reduces the stress for the police who proctor the vehicles manually. It save the lives as it reduces the delays to Ambulance to reach the hospital.
ACKNOWLEDGEMENT
In performing our project, we had to take the help and guidelines of some respected persons, who deserve our greatest gratitude. The completion of the project gives us much pleasure. We consider it is a privilege to express our respect to all those who guided us in the completion of the project, without whom our efforts would not have led to success.
It is a great privilege to place on the record of expressing our deepest sense of gratitude to B N Shobha, (HOD) who patronized our project and for the facilities provided to carry out the work successfully and Parinitha J, Project Guide for the valuable support and guidance at the time of work.
REFERENCES
[1] S Shraddha Ghadage and R Sagar Khedkar, A Review Paper on Automatic Number Plate Recognition System using Machine Learning Algorithms International Journal of Engineering Research & Technology (IJERT), Vol 8, Issue 12, Dec 2019, pp 800-803 [2] C S Vikas and Ashok Immanuel, Ambulance tracking system using Restful API, in Oriental Journal of Computer Science and Technology, Vol 10, March 2017 pp 213-218. [3] O Bulan, Kozitsky V, Ramesh P and M Shreve, Segmentation and Annotation Free License Plate Recognition with DeepLocalization and Failure Identification, IEEE Transactions on Intelligent Transportation Systems, Vol 18, issue 9, Sep 2017, pp 23512363.
[4] F Delmar Kurpiel, Minetto R and B T Nassu, Convolutional neural networks for license plate detection in images, IEEE International Conference on Image Processing (ICIP), Sep 2017, pp 3395 3399. [5] A Ambikapathi and S.L Chung, Robust license plate detection in the wild, 14th IEEE InternationalConference on Advanced Video and Signal Based Surveillance (AVSS), Aug 2017, pp 16. [6] S M Silva and C.R Jung, Real-time Brazilian license plate detection and recognition using deep convolutional neural networks, SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI),Oct 2017, pp 5562. [7] https://lastminuteengineers.com/ accessed on 1/1/2022 [8] https://firebase.google.com/ accessed on 1/1/2022 [9] https://www.advanced-ip-scanner.com/ accessed on 2/1/2022 [10] https://www.electronicshub.org/ accessed on 22/12/2021 [11] https://static.raspberrypi.org/ accessed on 22/12/2021 [12] Irfan Kilic and Galip Aydin, Turkish Vehicle License Plate Recognition Using Deep Learning, International Conference on Artificial Intelligence and Data Processing, Sep 2018. [13] S Shraddha Ghadage and R Sagar Khedkar, A Review Paper on Automatic Number Plate Recognition System using Machine Learning Algorithms International Journal of Engineering Research & Technology (IJERT), Vol 8, Issue 12, Dec 2019, pp 800-803 [14] Shivali Walvekar and Kinjal More, GPS based ambulance tracking and traffic control system, International Journal on Recent and Innovation trends in Computing and Communication,VOL 4 Issue8, August 2016, pp 37-38
[15] L Xie, T Ahmad, L Jin and S Zhang, A New CNN-Based Method for Multi-Directional Car License Plate Detection, IEEE Transactions on Intelligent Transportation Systems, Vol 19 Issue 2, Feb2018, pp 507-517.