Unmanned Aerial Vehicle for District Surveillance with Computer Vision and Machine Learning

It is a very challenging task to identify and trace the class of the objects during the time of poor visible conditions such as night time. Due to which there remains a gap in security measures especially in the areas where infiltration is a major issue and also the aerial activities are not that ea...

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Bibliographic Details
Main Authors: Saha, Sumit, Banerjee, Subhabrata, Dhar, Shreya, Bandyopadhyay, Anushka, Saha, Sujay, Ray, Soumily
Format: Conference Proceeding
Language:English
Subjects:
Autonomous aerial vehicles
Computer vision
Image Processing
Machine learning
Object Classification
Object Detection
Object Tracking
OpenCV
Protocols
Python
Safety
Security
Surveillance
UAV
Video Processing
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Description
Summary:It is a very challenging task to identify and trace the class of the objects during the time of poor visible conditions such as night time. Due to which there remains a gap in security measures especially in the areas where infiltration is a major issue and also the aerial activities are not that easy. In order to solve this issue, the study is conducted which uses Machine Learning and Computer Vision for the image and the video processing and also for the detection and the classification. The study is performed with the images and the video that are captured by the Unmanned Aerial Vehicle (UAV) during night time where onwards Computer Vision and Machine Learning are used for the further classifications.
ISSN:2767-9934
DOI:10.1109/IEMENTech60402.2023.10423530