Published 2019-04-06
Abstract
A horn is a sound making device that can be equipped to motor vehicles. The horn manufacturing consists of many processes such as coil winding, spool assembly, terminal base assembly, diaphragm assembly etc. The main objective of this project is to eliminate the requirement of human resource by unwanted complications in quality section and to simplify the process to improve the quality checking and making it more efficient in horn manufacturing. It involves the design and analysis before the dispatch section to detect any damage occurred after manufacturing of horn. The current process is after production, the horn has dispatched to barrier audit section. In barrier audit section, the horns manufactured are checked randomly. During the random check defective surface of horns will be removed. Any defective surface horn may be missed during the random check. The main aim of this project is to evaluate the quality process in leading horn manufacturing company in India, by designing a new technique to detect any damage in horn surface. In this project image processing is being implemented to detect any damage-crack in horn surface. By implementing the image processing technique using the Raspberry pi, damage-cracks can be easily detected and gives the quality assurance to the manufacturer.