Automatic Object Detection and Dimensional Measurement of Object Using Image Processing


Authors : Anuradha Kambale; Neha patil; Neha Ranmale; Shrutika Gonjare

Volume/Issue : Volume 7 - 2022, Issue 5 - May

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3yeN0xG

DOI : https://doi.org/10.5281/zenodo.6689533

Abstract : - In this days, automatic object detection and dimensions measurement is an important issue from so many small scale industries. It automatically measured size of object with their high accuracy by structure of light is based on system of camera.Using the different types of algorithms as well as morphological operation and the combination of hardware and software. This is the vital topic of computer vision problems this study present an enhanced technique for detecting object dimension of the object. Quality of the product is becoming necessary and demands high precision with accuracy for each atom. The approach includes six steps namely (1) Training Image, (2) Image segmentation, (3) feature explanation, (4) Testing of Image and the last is (5) Classification. The grey scale image are firstly aligned in the preprocessing step. In the implementation of the purposed technique, we designed a system that used MATLAB software, CCD/Web Camera. It nearly achieved 98% success in determination to size of object.

Keywords : Object detection, dimensions measurement.

- In this days, automatic object detection and dimensions measurement is an important issue from so many small scale industries. It automatically measured size of object with their high accuracy by structure of light is based on system of camera.Using the different types of algorithms as well as morphological operation and the combination of hardware and software. This is the vital topic of computer vision problems this study present an enhanced technique for detecting object dimension of the object. Quality of the product is becoming necessary and demands high precision with accuracy for each atom. The approach includes six steps namely (1) Training Image, (2) Image segmentation, (3) feature explanation, (4) Testing of Image and the last is (5) Classification. The grey scale image are firstly aligned in the preprocessing step. In the implementation of the purposed technique, we designed a system that used MATLAB software, CCD/Web Camera. It nearly achieved 98% success in determination to size of object.

Keywords : Object detection, dimensions measurement.

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