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Volume 3 Issue 2
March-April 2025
Author(s) | Akshay Vaja, Dhaval Raghavbhai Kathiriya |
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Country | India |
Abstract | The idea that we got to do the project on the suspicious activity detection using AI under surveillance video is that nowadays most of the indiscriminate activities are taking place in the college premises. So, in each time it is very difficult to monitor the activities during the college premises, so we had developed a project in which a surveillance video is attached, and an alarm sound is produced which is connected to the device of the user. It marks all the illegal activities such as disputes, fighting and any clearance of the work. Many CCTV cameras are used for constant monitoring of the activities happening around the world. It generates a 720*1080p quality of motion of the picture. This video is converted into frames where in each frame a sound is produced. |
Keywords | Convolutional Neural Networks, Surveillance Video |
Discipline | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 1, Issue 1, July-August 2023 |
Published On | 2023-07-12 |
Cite This | Suspicious Activity Detection using AI under Surveillance Video - Akshay Vaja, Dhaval Raghavbhai Kathiriya - AIJMR Volume 1, Issue 1, July-August 2023. |
E-ISSN 2584-0487
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