Design of Detection System Based on Digital LCD Touch Screen

Abstract

Traditional Liquid Crystal Display (LCD) touchscreen manufacturing processes are often hampered by testing systems characterized by low levels of automation. These legacy systems suffer from significant limitations, including an inability to seamlessly exchange test data with other devices in the production line and a lack of flexibility to accommodate products with multiple specifications. This data siloing and inflexibility create bottlenecks, impede statistical process control, and hinder the transition towards smart manufacturing. In response to these challenges, this paper presents the design and development of a novel, digitized detection system specifically for LCD touchscreens. The core of the proposed system utilizes an industrial image acquisition card to capture high-fidelity digital images of the unit under test. Subsequently, a suite of advanced image processing algorithms is applied. Key to its operation is the capability to filter and analyze specific regions of interest (ROI) based on configurable area thresholds, enabling precise and automated screen inspection for defects such as dead pixels, scratches, and Mura effects. The system's architecture is designed for versatility, allowing it to be easily reconfigured to test different specifications of LCD touchscreens and associated Flexible Printed Circuit (FPC) boards. Its functionality comprehensively covers critical assembly stages, including the inspection of plug-in components, the quality of hot-pressing (e.g., for FPC attachment), and continuity or wiring tests. The implementation of this system facilitates fine-grained management of the production workflow, empowers intelligent defect recognition, and establishes complete data tracing from raw materials to finished goods. Empirical results from deployment demonstrate tangible benefits, notably a significant reduction in manual labor requirements, a marked improvement in testing efficiency and throughput, and a substantial elevation of the overall digitization level within the production environment. This research provides a practical and scalable solution for modernizing quality control in display manufacturing.