Detection of objects and its dimensions

Author(s)	Mr. Uppunutula Yashwan Goud, Mr. Vakiti Saketh Reddy, Prof. Kampati Shirisha
Country	India
Abstract	DEEPVISION addresses two vital challenges in modern computer vision: real-time object detection and precise measurement of object dimensions using video and image input. This platform integrates the power of YOLOv4, an advanced deep learning algorithm, to detect multiple objects and estimate their sizes dynamically. The system finds applications across diverse fields such as retail automation, industrial logistics, smart surveillance, and augmented reality. Built on Python, OpenCV, and PyTorch, DEEPVISION ensures modularity, speed, and accuracy by leveraging deep convolutional neural networks. Through automated edge detection, real-time bounding box generation, and pixel-to-metric calibration, the platform provides end-to-end visual intelligence.
Keywords	Object Detection, YOLOv4, Computer Vision, Deep Learning, Object Dimensions
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-08
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.43751
Short DOI	https://doi.org/g9hsg8

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