batch 7 final review PPT mini project .pptx

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1. SRI RAMAKRISHNA ENGINEERING COLLEGE No. of Credits : 2 20 EC258-MINIPROJECT-II Department of Electronics and Communication Engineering [Educational Service : SNR Sons Charitable Trust] [Autonomous Institution, Reaccredited by NAAC with ‘A+’ Grade] [Approved by AICTE and Permanently Affiliated to Anna University, Chennai] [ISO 9001:2015 Certified and all eligible programmes Accredited by NBA] VATTAMALAIPALAYAM, N.G.G.O. COLONY POST, COIMBATORE – 641 022. 19-05-2023 1 MP-II

2. SRI RAMAKRISHNA ENGINEERING COLLEGE 19-05-2023 2 MP-II Class / Section / Semester ​ :​ II ECE / A / IV​ Batch​ :​  0 7 Project Review ​ :​ Final Review​ Title of the project​ :​ Insurance and Fitness certificate verification in Roadways. Date​ :​ 19.05.2023 Project Guide​ :​ Dr.K.R.Prabha AP(Sl.G) / ECE​ Team Members​ :​ Adithyan .P ( 2102007 )​ Ajith Kumar . R  ( 2102010 )​ Arun Vijay . S ( 2102017 )​ ​

3. 19-05-2023 3 MP-II S.NO CONTENTS SLIDE NO. 1 CHALLENGE STATEMENT 4 2 LITERATURE SURVEY 5,6 3 EXISTING METHOD 7 4 PROPOSED METHOD 8,9,10 5 BLOCK/SCHEMATIC DIAGRAM 11 6 USE-CASE DIAGRAM 12 7 SOFTWARE IMPLEMENTATION VIDEO 13 8 EXPERIMENTAL RESULTS 14,15,16,17 9 CONCLUSION 18 10 FUTURE WORK 19 11 REFERENCES 20,21 12 CONTEST PARTICIPATION 22 OVERVIEW

4. CHALLENGE STATEMENT 19-05-2023 4 MP-II As per IRDAI(Insurance Regulatory and Development Authority of India),more than 50% of vehicles are uninsured in India . This means that about 13.2 crore vehicles on Indian roads are running without the mandatory third-party insurance covers . It is mandatory for every vehicles to have a valid fitness certificate,but these certificates are not maintained properly in some vehicles. Consumption of time is very high to check the records manually. Road accidents that might take place due to improper condition of a vehicle.

5. 30-05-2022 MP-II 6 LITERATURE SURVEY S. No TITLE AUTHOR NAME OF ORGANIZATION &YEAR DESCRIPTION 1. Automatic Car Number Plate Recognition. Anumol Sasi Dr. Alice N. Cheeran Swapnil Sharmaswapnil. 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). Automatic Number Plate Recognition (ANPR) is a technology that uses optical character recognition on images of vehicle registration plates to read the vehicle's registration number. 2. Automated License Plate Recognition: A Survey on Methods and Techniques Jithmi Shashirangana,Heshan Padmashri,Dulani Meedeniya, Charith Perera Conference & Publishing Grant , University of Moratuwa,SriLanka,2021 Automatic Number Plate Recognition (ANPR) is an image processing technology which uses number (license) plate to identify the vehicle.

6. 30-05-2022 MP-II 7 LITERATURE SURVEY S. No TITLE AUTHOR NAME OF ORGANIZATION &YEAR DESCRIPTION 3 Automatic NumberPlate Detection in Vehicles using Faster R-CNN. N.Palanivel,Vigneshwaransriva Rappradhan R.Madhanraj UG Scholar, Dept of CSE Manakula Vinayagar Institue of Technology, Pondicherry, India Careleton University, IEEE ICSCAN 2020 The system is able to achieve a 99.1% accuracy to detect the number plate of the vehicle and show the vehicle's owner information. 4 Entry and Exit Monitoring using LicensePlate Recognition. A. Yovan Felix and A. Jesudoss and J. Albert MayanAssistant professor, Department of ComputerScience and Engineering. IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls,2017 In this method automatic number plate recognition will detect the number plate and register the entry and exit time of an vehicle .It will be stored in the database.

7. 19-05-2023 7 MP-II EXISTING METHOD In the existing system , Automatic License Plate Recognition is a system which identifies the characters directly from the image of the license plate. Character Recognition is the final stage of Automatic License Plate Recognition System (ALPR). Automatic License Plate Recognition is an image processing and pattern recognition technique used to identifying vehicle license plate number from an image or video of a vehicle. This system can quickly and easily identify vehicles by their number plate. This system is applicable for different kind of number plates by recognizing single and double line number plates

8. 19-05-2023 MP-II 8 PROPOSED METHOD In our proposed method , a program is developed using python to verify the data of a vehicle. The camera fixed will detect the number plate. Once the image of the car is detected, then it will get the location of the number plate using HaarCascade. HaarCascade is an algorithm that can detect objects in image.In our method HaarCascade is trained to detect the number plate in the image. Once the location of the number plate is detected, then the number plate is cropped.

9. PROPOSED METHOD Optical Character Recognition is applied on the number plate to extract the characters on it. Data of the vehicle evaluated: Insurance Fitness Certificate On account of traffic rule violation, Our proposed method will generate some amount of fine for the vehicle . A message will be sent by push bullet to the respective officers.

10. 19-05-2023 MP-II 10 PROPOSED METHOD The details of the fined vehicles will be stored in the Data base. With the help of the data base, police can take action on the vehicle and its owner. The insurance and fitness certificate details of the vehicle should be updated regularly.

11. 19-05-2023 11 MP-II BLOCK / SCHEMATIC DIAGRAM

12. USE-CASE DIAGRAM 19-05-2023 12 MP-II

13. SOFTWARE IMPLEMENTATION VIDEO 19-05-2023 MP-II 13

14. EXPERIMENTAL RESULT S MP-II 14 19-05-2023 The above picture is the program to find the uninsured vehicle and the vehicles not having fitness certificate .

15. EXPERIMENTAL RESULTS 19-05-2023 MP-II 15 I n this we have to show the car as an image infront of the camera.

16. 19-05-2023 MP-II 16 The message will be sent through the pushbullet EXPERIMENTAL RESULTS

17. EXPERIMENTAL RESULTS 19-05-2023 MP-II 17 The vehicle details will be stored in the data base

18. CONCLUSION 19-05-2023 MP-II 18 As a result of using our solution, it is easy for the officers to check the vehicle. It is easier than checking the vehicles manually.  As a result, it will reduce the traffic rule violation in addition to that the details of the vehicle which violate the traffic rule’s will be stored.

19. FUTURE WORK 19-05-2023 MP-II 19 We are just at the beginning of exploring the insurance and fitness certificate using the number plate recognition. We are only using python programming language for our project. There are other high level programming languages which handles large data given like JAVA, etc... More advancement can be made using high resolution cameras for image processing.t is very helpful for the police in highways, tollgate and other emergency situations. The generation of fine can be improvised and can be made to generate a accurate fine for the (person who doesn't has fitness and insurance certificate Correctly). Data storage can be improved using other high technology.

20. REFERENCES A. Sasi, S. Sharma and A. N. Cheeran, "Automatic car number plate recognition," 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, India, 2017, pp. 1-6, N. P. Ap, T. Vigneshwaran, M. S. Arappradhan and R. Madhanraj, "Automatic Number Plate Detection in Vehicles using Faster R-CNN," 2020 International Conference on System, Computation, Automation and Networking (ICSCAN), Pondicherry, India, 2020, pp. 1-6. A. Y. Felix, A. Jesudoss and J. A. Mayan, "Entry and exit monitoring using license plate recognition," 2017 IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), Chennai, India, 2017, pp. 227-231. Z. Sanyuan, Z. Mingli, and Y. Xiuzi, ‘‘Car plate character extraction under complicated environment,’’ in Proc. IEEE Int. Conf. Syst., Man Cybern., vol. 5, Oct. 2004, pp. 4722–4726. 19-05-2023 MP-II 20

21. REFERENCES R. Chen and Y. Luo, ‘‘An improved license plate location method based on edge detection,’’ Phys. Procedia, vol. 24, pp. 1350–1356, Jan. 2012. Y. Cui and Q. Huang, ‘‘Automatic license extraction from moving vehicles,’’ in Proc. Int. Conf. Image Process., vol. 3, 1997, pp. 126–129 P. Kulkarni, A. Khatri, P. Banga, and K. Shah, ‘‘Automatic number platerecognition (ANPR) system for indian conditions,’’ in Proc. 19th Int.Conf. Radioelektronika, Apr. 2009, pp. 111–114. 19-05-2023 MP-II 21

22. CONTEST PARTICIPATION Participated in MECHNOTRON_23’s project expo held at Coimbatore Institute of technology Participated in PRAGYA_2K23’s project expo held at Anna University Regional Campus 19-05-2023 MP-II 22

23. THANK YOU 19-05-2023 MP-II 23