Object Detection Using Machine Learning (Missing Object Alert)

Akansha Bondade, Satish Ghate, Chandan Bhaisewar, Pranjal Chaure, Ayushi Gaulkar
International Journal of Computational and Electronic Aspects in Engineering
Volume 4: Issue 3, July-September 2023, pp 63-67

Author's Information
Akansha Bondade 1 
Corresponding Author
1Department of Computer Science and Engineering, G H Raisoni University, Saikheda, Chhindwara, India.
akansha.bondade@ghru.edu.in

Satish Ghate2, Chandan Bhaisewar2, Pranjal Chaure2, Ayushi Gaulkar2
2Department of Computer Science and Engineering, G H Raisoni University, Saikheda, Chhindwara, India.
Article -- Peer Reviewed
First online on – 12 September 2023

Open Access article under Creative Commons License

Cite this article –Akansha Bondade, Satish Ghate, Chandan Bhaisewar, Pranjal Chaure, Ayushi Gaulkar “Object Detection Using Machine Learning (Missing Object Alert)”, International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 4, Issue 3, pp. 63-67, 2023.
https://doi.org/10.26706/ijceae.4.3.20230902

Abstract:-
Object detection and tracking could be an immense, vivacious however inconclusive and trending area of computer vision. Due to its immense use in official surveillances, tracking modules applied in security and lots of others applications have made researchers to devise a lotof optimized and specialized methods. For validation purpose live input video will be taken for the same where objects will be getting detected and it can be simulated same for real-time through external hardware added. In the end we see the proper optimized and efficient algorithm for object detection and alert for security. Object Detection is computer visiontechnique used to detect object and identify its localisation. This technique is not only used to identify the location but also to identify which type of object it is. This CV technique is used to detect objects in real time while maintaining the level of accuracy. By bringing some advancement in it, this system can be very helpful for people to keep track of their precious things or devices which are very expensive and need to be protected. Open CV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real- time computer vision. Open CV features GPU acceleration for real-time operations. This feature helps us to write computationally intensive codes in C/C++ and create a Python wrapper for it so that we can use these wrappers as Python modules.
Index Terms:-
Object Detection; vivacious; YOLOv3;Tensor Flow; Security; Tracking Module
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