Real-Time Object Measurement Using Image Processing

Authors

  • Sukesh Jiwane, Ashutosh Panda, Yash Basutkar, Avinash Golande

DOI:

https://doi.org/10.17762/msea.v71i4.887

Abstract

From an industrial standpoint, real-time object measurement and dimensioning is a crucial component of the requirements of the current and developing world. When dealing with computer vision challenges, these are the topics that must be tackled. This paper shows how an IoT video device, such as a camera, may also be used to recognize objects and compute their real-time measurements. Based on NumPy, OpenCV libraries, and cameras we proposed an IoT-based real-time object measuring technique for calculating measurements and dimensions of objects. Many modules and algorithms from OpenCV are used in this project. There are five stages to this technique, which are as follows. Capture a picture , Measurement of an object , Calculating the area, Saving the output, Displaying the Measurements.

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Published

2022-09-22

How to Cite

Sukesh Jiwane, Ashutosh Panda, Yash Basutkar, Avinash Golande. (2022). Real-Time Object Measurement Using Image Processing. Mathematical Statistician and Engineering Applications, 71(4), 3260–3267. https://doi.org/10.17762/msea.v71i4.887

Issue

Section

Articles