Flexible and low-cost laser scanner for automatic tyre inspection

Subahir, Noorain Shafinaz (2021) Flexible and low-cost laser scanner for automatic tyre inspection. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Show how you can acquire a red line laser scanner using the shelf components, which preserves versatility and precision. Easy and accurate geometric and light parameter calibration procedures are defined. The effects of its application to some of the manufacturing issues in the tire industry will be shown. It has three algorithms to detect the defect of tire tread which are laser and camera calibration, tread profile clarification, and tire classification. First and foremost, a particular approach is suggested here, where the laser and the camera are not positioned in the same situation, but mounted at a wider angle separately. For the whole tire, the surface will be studied by replacing the tire with the black curtain on the floor. A particular approach where lasers and cameras are not mounted in the same frame, but instead wider angles are mounted independently. This scheme can analyze the entire surface of the tire when. This allows for better accuracy and better flexibility when looking for cameras and laser transmitters. In addition, it allows their location to be optimized according to factory specifications. For high accuracy, camera angle and tire displacement are important parts to improve good results. This also involves camera calibration, laser calibration, and profile parameters. MATLAB software is used to develop encoding for identification pictures. Placing a laser and a camera at an angle helps make the projected laser line transfer to the plane of the camera image with surface height differences. While for the second algorithm which is tread profile clarification, will detect the tire tread condition, and here there are three types of tire tread condition either sample 1is replace, sample 2 is considered to replace, and sample 3 is in good condition. It will generate automatically the RGB programmable tread profile and form the graph that shows the class and the tire condition. On the other hand, once the second algorithm is done, the tire classification stage will begin, and where will be seen the tire tread percentage.

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