—This paper looks into an economical way to bring machine vision to smartphones and basic camera modules without any major setup using basic image processing techniques. This technique can be used to measure the dimensions of random objects as well as be used to detect particular objects in an image. A single camera module can be used for both purposes i.e. measure objects whose image distance is known and measure dimensions of objects whose image distance needs to be calculated, making the process efficient, economical and portable. We look into a new area where machine vision can aid the general population and be affordable to small scale industries as well.
—Machine vision, image processing, quality assurance, dimension calculation, portability.
Ashwath Narayan Murali is with the SASTRA University, Thanjavur, India (e-mail: firstname.lastname@example.org).
Cite: Ashwath Narayan Murali, "Machine Vision for General Cameras for Quality Testing and Dimension Calculations," International Journal of Modeling and Optimization vol. 5, no. 4, pp. 15-21, 2015.