English Abstract
Abstract :
Conventionally, a manufactured product undergoes a quality control process. The quality
control department mostly ensures that the dimensions of the manufactured products are within the
desired range, i.e., the product either satisfies the defined conformity range or is rejected. Failing
to satisfy the conformity range increases the manufacturing cost and harms the production rate
and the environment. Conventional quality control departments take samples from the given batch
after the manufacturing process. This, in turn, has two consequences, i.e., low-quality components
being delivered to the customer and input energy being wasted in the rejected components. The aim
of this paper is to create a high-precision measuring (metrology)-based system that measures the
dimension of an object in real time during the machining process. This is accomplished by integrating
a vision-based system with image processing techniques in the manufacturing process. Experiments
were planned using an experimental design which included different lightning conditions, camera
locations, and revolutions per minute (rpm) values. Using the proposed technique, submillimeter
dimensional accuracy was achieved at all the measured points of the component in real time. Manual
validation and statistical analysis were performed to check the validity of the system.
