Volume & Issue no: Volume 11, Issue 5, May 2022
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Title: |
Soil And Water Testing with Irrigation Controller System |
Author Name: |
Ashwini Ladekar, Samruddhi Nanaware, Sristy , Ujjawala Nimbolkar |
Abstract: |
Abstract
Due to an ever-increasing population, crowd density estimation is an extremely significant factor that must be
considered in todays times, and people counting is a critical subject in video surveillance applications. When a large
group of people gathers, there is a risk of loss of life, property, and other things. Human action identification, crowd
anomaly detection, and behavior analysis are some of the most popular disciplines of video processing study. This is
where crowd density estimate, which is based on image and video processing, can help organizers of public events,
railway security, college campuses, and other places maintain track of crowd density. Various image processing and
video processing techniques are employed in this project effort to estimate the number of persons from a given video
footage or image.
Keywords: Crowd Detection, deep learning, image processing, video processing |
Cite this article: |
Ashwini Ladekar, Samruddhi Nanaware, Sristy , Ujjawala Nimbolkar , "
Soil And Water Testing with Irrigation Controller System" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) ,
Volume 11, Issue 5, May 2022 , pp.
043-048 , ISSN 2319 - 4847.
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