Intelligent Video Surveillance System with YoloV8
Abstract & Details
Research Area
Computer Science Engineering
Keywords
Fall detection
Object Detection
Machine Learning
Python
Data Preprocessing
Feature Engineering
Model Selection
Data Collection
Evaluation Metrics
Logistic Regression
YoloV8 Algorithm
Speed detection.
Abstract
Video Surveillance has been used in many applications including hospital, elderly care and home nursing, etc. Intelligent video surveillance systems are capable of enhancing situational awareness across multiple scales of space and time.
This project makes use of OpenCV library to capture camera images and detect intrusion using image comparison technique.
Once the comparison is done and an intrusion is found, it alerts and then admin can take appropriate action. Intelligent Surveillance is the use of automatic video analytics to enhance effectiveness of surveillance systems.
This system introduces automatic identification of persons activity to enhance the security system in hospital this enriches the current video surveillance systems. The relevant data is captured and alert is given to the user by sending message. This system maintains the security at many locations and detect if anyone falls.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Prof. Ghorpade Sheetal Dadasaheb | MIT College Of Railway Engineering And Research,Barshi |
| 2 | Shreedhar Satish Pawar | MIT College Of Railway Engineering And Research,Barshi |
| 3 | Pratik Arvind Kamble | MIT College Of Railway Engineering And Research,Barshi |
| 4 | Prashant Dattatrey Lavate | MIT College Of Railway Engineering And Research,Barshi |
| 5 | Kaif mahammadhanif shaikh | MIT College Of Railway Engineering And Research,Barshi |
| 6 | Abhijeet Manohar Sawant | MIT College Of Railway Engineering And Research,Barshi |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Dadasaheb, Prof. Ghorpade Sheetal, Pawar, Shreedhar Satish, Kamble, Pratik Arvind, Lavate, Prashant Dattatrey, shaikh, Kaif mahammadhanif, & Sawant, Abhijeet Manohar (2024). Intelligent Video Surveillance System with YoloV8. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 1148-1155.
MLA Style
Dadasaheb, Prof. Ghorpade Sheetal, et al. "Intelligent Video Surveillance System with YoloV8." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 1148-1155.
IEEE Style
Prof. Ghorpade Sheetal Dadasaheb, Shreedhar Satish Pawar, Pratik Arvind Kamble, Prashant Dattatrey Lavate, Kaif mahammadhanif shaikh, and Abhijeet Manohar Sawant, "Intelligent Video Surveillance System with YoloV8," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 1148-1155, 2024.
Vancouver Style
Dadasaheb Prof. Ghorpade Sheetal, Pawar Shreedhar Satish, Kamble Pratik Arvind, Lavate Prashant Dattatrey, shaikh Kaif mahammadhanif, Sawant Abhijeet Manohar. Intelligent Video Surveillance System with YoloV8. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):1148-1155.
Harvard Style
Dadasaheb, Prof. Ghorpade Sheetal, Pawar, Shreedhar Satish, Kamble, Pratik Arvind, Lavate, Prashant Dattatrey, shaikh, Kaif mahammadhanif, & Sawant, Abhijeet Manohar (2024) 'Intelligent Video Surveillance System with YoloV8', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 1148-1155.
Chicago Style
Dadasaheb, Prof. Ghorpade Sheetal, et al. "Intelligent Video Surveillance System with YoloV8." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 1148-1155.
Turabian Style
Dadasaheb, Prof. Ghorpade Sheetal, et al. "Intelligent Video Surveillance System with YoloV8." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 1148-1155.
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