• T. Palaniappan
• A.R.Munavar Hussain
• S.Dinesh Kumar
• G.S.Madhavan

The tyres being manufactured in tyre industries have different dimensions and tread pattern based on the type of vehicle and customer needs (automobile industries). Depending on dimensions and pattern, tyres are segregated into various classes. A unique class of tyres are lead to their own distinct bins for packaging. The classification of tyres for this purpose is meant as sorting of tyres. The developed solution uses images of the tyres to perform classification. Canny edge detection [1] and Structural similarity index metric (SSIM) [3, 4] are used in the solution for tread pattern identification and comparison respectively. The other feature taken into consideration is the inner and outer diameter of the tyres. Dimensions of the tyres are found by applying contours [5, 6]. For the purpose of managing, the data of when and which class of tyre was recognized is updated into Open source IoT platform, Thingspeak. This paper describes the design, algorithm, flow, and development of a prototype built using GR Lychee microprocessor.

Tyre sorting, IoT, GR Lychee

"Vision Based Tyre Sorting System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.179-182, May-2019, Available :http://www.jetir.org/papers/JETIR1905730.pdf

"Vision Based Tyre Sorting System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp179-182, May-2019, Available at : http://www.jetir.org/papers/JETIR1905730.pdf