• Kevin Sheth

Today, many devices generate data Anytime, anywhere. The data has increased significantly. The handling becomes complicated. It is difficult to process and consists of unstable attributes. In traffic management, install CCTV Monitor specific locations on the highway. CCTV Create unstructured data for images and videos format. Due to the complexity of the data, it is difficult to process this data. This survey proposes to implement big data analytics to process unstructured real-time data from CCTV into displayed on the dashboard. It uses the Yolo V4 architecture and the COCO dataset to implement the YOLO framework for traffic flow counting and detection of illegal parking that is classified as anomalous situations. Next, the unstructured data from CCTV was converted to JSON semi-structured format. The data can also be visualized in real-time to help local governments understand highway conditions. Historical data is stored in the NoSQL database to give you a deeper understanding of vehicle traffic patterns and more. This system requires an ROI drawing line as a trigger to count the passing vehicles.

Real-time ,CCTV, unstructured data ,big data, Traffic management

"Big Data Analytics for Processing Real-time Unstructured Data from CCTV in Traffic Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.c196-c201, January-2022, Available :http://www.jetir.org/papers/JETIR2201228.pdf

"Big Data Analytics for Processing Real-time Unstructured Data from CCTV in Traffic Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppc196-c201, January-2022, Available at : http://www.jetir.org/papers/JETIR2201228.pdf