Abstract
In this paper, an automated inspection system is proposed for detecting the location and measuring the size of existing dipping or buckling on the sandwich panel surface using an RGB camera and an inexpensive linear laser. The proposed method, by observing the radiated laser beams on the sandwich panel surface, can localize and calculate the level of dipping and buckling with acceptable accuracy while being robust to vibrations of moving sandwich panel on the production line conveyor. After a complete processing of the panel by the system, a three-dimensional (surface plot) or two-dimensional (heat map) output is produced to assist the production line supervisor to easily inspect the surface quality of the sandwich panels. Our experimental results show that the proposed system can detect and measure the surface defects including dipping and buckling with a high accuracy and performance.
Highlights
The sandwich panel manufacturing industry is of crucial importance around the world
Unlike most of the automated visual inspection systems that control the quality of discrete productions, the production line of sandwich panel is continuous, and the products with variable dimensions and specifications are manufactured continuously involving various operations at separate stations
Some instances of inspection and quality control of the sandwich panel production process are the quality inspection of painting and thickness, metal sheet bezel and fracturing inspection before manufacturing, cellophane cover on sheet as ordered, correct shaping of sheets in forming station, adapting the molds width with the specified width in the customer order, double belt alignment with forming and coil holders, and lack of dipping and buckling on the sandwich panel surface
Summary
The sandwich panel manufacturing industry is of crucial importance around the world. The sandwich panels are used in production of the fixed and portable Conex boxes, sustainable prefabricated buildings and prefabricated sanitary units in the world. Unlike most of the automated visual inspection systems that control the quality of discrete productions (such as auto production line and food industry), the production line of sandwich panel is continuous, and the products with variable dimensions and specifications (depending on the customer order type) are manufactured continuously involving various operations at separate stations (such as forming and injection). Since an extensive set of variables affects the production of sandwich panels and, to the best of our knowledge, there is no comprehensive study about the usability of computer vision and artificial intelligence methods for quality control of the sandwich panels, this paper only focuses on detection of the dipping and buckling on the surface of sandwich panels as an initial phase of designing and implementing a comprehensive automated visual inspection system
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