Title: Adaptive image processing system

Biography:

Mustafa Gelen has completed his Mechanical Engineering (2017) at Istanbul Technical University, Turkey. He worked as a Thesis Trainee at Arcelik group at Turkey. He worked as a Manufacturing Tool Design Engineer at Eczacibasi Yapi Urunleri Grubu, Turkey. Currently he is working as a Senior Quality Engineer at Ford Otosan, Turkey.

Abstract

Ford Otosan’s Yeniköy plant, which assembles the transit courier and tourneo courier, has implemented an adaptive image processing system to inspect the vehicle in terms of part presence/absence, vehicle complexity and specifi cation requirement automatically. In the assembly plant, when the vehicle is fi nished, the vehicle goes through customer acceptance line (CAL) for fi nal inspection list of checks to make sure all of the parts are in place, doors fi t properly, wipers work etc., to ensure the vehicle meets engineering specifi cations and customer expectations as a part of quality management system. Th is inspection workfl ow is crucial to eliminate customer complaints, warranty costs and decrease of customer satisfaction. All these checks were being done manually by operators aft er implementing adaptive image processing system, correct exterior trim part availability and specifi cation check have been started to be done automatically. With adaptive image processing system, labor effi ciency has been improved, non-value-added processes have been eliminated and human errors on manual processes have been completely reduced to zero.