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. Coils are used as components of circuits and to provide the magnetic field of electrical machines such as motors and generators and in manufacture of loud speakers and microphones. The coils in the horn are used for the conductivity. The enamel in the coil is removed manually. The main aim of this project is to implement some innovative idea in enamel removing. The disadvantage in the enamel removing section is that the enamel in the coil may be removed improperly. To overcome this disadvantage and give assurance that the enamel has been removed properly, an image processing technique is implemented. An image processing algorithm is created and comparison is done to check whether the enamel is removed properly or not. Image processing technique involves image acquisition, while comparing with other methods, this method is more effective. The time taken for execution is below 5 seconds.