Automated vehicle detection by using Internet of things and big data analytics- a study in Royal Oman Police

Authors

  • Abdullah Mohammed Abdullah Al Jabri Middle East College
  • Anjum Zameer Bhat Middle East College

Keywords:

Internet of things, automated vehicle detection, big data analytics

Abstract

Technology is an essential thing in our life in various aspects, the technology used to increase security in the world. Through this project, technology has been employed to detect the wanted vehicles, as we know the crimes are increased every day, vehicles stealing, and terrorists, therefore if there is no security in any countries that caused instability and the economy will be very because weak nobody came to the country without security to make investments on it, so every country seeking to make its country security. Therefore, this project will help the security sector to observe and control the road, which will help to determine the route of vehicles fastly through cameras on the roads which capture the vehicle plate numbers and stored in storage data that can authorized persons back to the data and looking for specific plate numbers. In addition, the main operation room of the security sector gets a notification while the wanted car pass-through camera on the road by phone. The main objective of this project is to employ technology to increase the level of security in the Sultanate, by using low-cost technologies.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References or Bibliography

Aalsalem, M. Y., Khan, W. Z., & Dhabbah, K. M. (2016). An Automated Vehicle Parking Monitoring and Management System Using ANPR Cameras. Faculty of Computer Science & Information System, Jazan University, Kingdom of Saudi Arabia, 706-710.

Al-Jaafari, N. G., Ahmed, I., Bhatt, A. Z., & Khan, M. S. (2019). Intelligent vehicular maintenance system using IoT, Mobile application, internet-enabled vehicles and vehicular could. Journal of Student Research.

Bhat, A. Z. (2014). Inspiring creative minds. Springer, Dordrecht, 483-496.

Bhat, A. Z., & Ahmed, I. (2016). Big data for institutional planning, decision support and academic excellence. 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC) (pp. 1-5). Muscat: IEEE.

Bhat, A. Z., Singh, B., & Mohsin, T. F. (2021). Cloud Implementation to Assist Teachers of English to Speakers of Other Languages in HEI’s in Sultanate of Oman. SocArXiv.

Bhat, A., Kameshwari, L., & Singh, B. (2020). MathCloud: A Discrete Cloud Implementation to Enhance Learning Experience in Mathematics. IEEE 5th International Conference on Computing Communication and Automation (ICCCA) (pp. 509-512). IEEE.

Chen, T., Zhang, X.-P., Wang, J., Li, J., Wu, C., Hu, M., & Bian, H. (2020). A Review on Electric Vehicle ChargingInfrastructure Development in the UK. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 8(2), 193-205.

Friedrich, M., Jehlicka, P., & Schlaich, J. (2008). AUTOMATIC NUMBER PLATE RECOGNITION FOR THE OBSERVANCE OF TRAVEL BEHAVIOUR. International Conference on Survey Methods in Transport, (pp. 1-17).

Mandi, M. S. (2016). An Automatic Number Plate Recognition System for Car Park Management. Electronic Theses and Dissertations, 1-67.

Mandi, M. S., Shibwabo, B., & and Raphael, K. M. (2007). An Automatic Number Plate Recognition System for Car Park Management’. International Journal of Computer Applications, 36-42.

Mandi, M. S., Shibwabo, B., & Raphael, K. M. (2017). An Automatic Number Plate Recognition System for Car Park Management. International Journal of Computer Applications, 15(7), 36-42.

Mane, P. B., Bade, G., & and Patil, V. (2019). Image Processing Based Toll Automation Technique Using ANPR. AISSMS Institute of Information Technology, (pp. 4926-4930).

Muhsin, T. F., Bhat, A. Z., Ahmed, I., & Khan, M. S. (2019). Systematic Approach for Development of Knowledge Base in Higher Education. Journal of Student Research.

Muhsin, T. F., Bhat, A. Z., Mohamed, I. A., & Khan, S. (2019). Big Data Analytics for Enhancing Students Experience in Higher Education–A Case Study. Journal of Student Research.

Reddy, T. K. (2017). Efficient Licence Plate Detection By Unique Edge Detection Algorithm and Smarter Interpretation Through IoT. (pp. 1-11). Institute of Electrical and Electronics Engineers.

Roberts, D. J., & Casanova, M. (2012). AUTOMATED LICENSE PLATE RECOGNITION SYSTEMS. America United States: International Association of Chiefs of Police.

Robinson, A., & Niekerk, V. (2014). USES OF ANPR DATA IN TRAFFIC MANAGEMENT AND TRANSPORT MODELLING. Pretoria, South Africa, 96-106.

Sharma, R., & and Sasi, S. (2007). Vision-based Monitoring System for Detecting Red signal crossing. Innovations and Advanced Techniques in Computer and Information Sciences and Engineering, (pp. 29-33).

Sharma, s., Sarkar, D., & Gupta, D. (2012). Agile Processes and Methodologies: A conceptual study. International Journal on Computer Science and Engineering, 4(5), 892-898.

Zameer, A., Saqib, M., Naidu, V. R., & Ahmed, I. (2019). IoT and Big Data for Decreasing Mortality rate in Accidents and Critical illnesses. 2019 4th MEC International Conference on Big Data and Smart City (ICBDSC) (pp. 1-5). Muscat: IEEE.

Published

06-01-2022

How to Cite

Abdullah Al Jabri, A. M. ., & Bhat, A. Z. (2022). Automated vehicle detection by using Internet of things and big data analytics- a study in Royal Oman Police. Journal of Student Research. Retrieved from https://www.jsr.org/index.php/path/article/view/1468