Object size measurement using open CV (Computer Vision)

Object size measurement has become very vital in today’s world, it has widened its applications in various fields; Measurement is not only crucial in science and the chemical industry but also in farming, engineering, building, manufacturing, industries, business, and many more professions and pursuits technique that uses a readily measure an object’s overall size. Especially in the context of the COVID-19 pandemic, where contactless measurements have gained significance to reduce the risk of virus transmission which is aided by this techinique .This paper presents a comprehensive approach for object size measurement using the OpenCV library, a widely adopted computer vision tool. The proposed method leverages state-of-the-art image processing techniques to provide reliable and precise object size estimates.The method utilizes OpenCV’s extensive functionality for image manipulation and object recognition.the calibration process necessary for converting pixel measurements into real-world units. Calibration methods based on known reference objects and camera parameters are explored to ensure accurate size estimation.The program initially detects the object that interests it in the picture and then applies anarray of geometrical procedures to determine its borders anddimensions. This research created an accurate, dependable, and cost-effective method for measuring item measures (distance, width, and height) in the real world employing only a camera system.Experimental results are presented to validate the proposed approach’s performance under various conditions, including object types, sizes, and environmental factors. The comparative analysis with existing methods demonstrates the superiority of the OpenCV-based approach in terms of accuracy and computational efficiency.