Improving The Performance of AMOLED Displays by Identifying Their Characteristics Using Deep Learning.

Abstract

The physical structure of an AMOLED (Active-Matrix Organic Light-Emitting Diode) display can be defined as an optoelectronic system equipped with a thin-film transistor array (TFT) that controls an array of organic light-emitting diode (OLED) pixels. Each pixel contains a TFT transistor acting as a switch, connected to a transparent anode, an organic emitter layer, and a common cathode, allowing for precise control of the current and light emitted by each pixel. The overall structure consists of a series of layers resting on a central substrate layer, and often includes additional optical films and a touchscreen panel.

AMOLED (Active-Matrix Organic Light-Emitting Diode) is a self-emissive display technology that controls each individual pixel using a thin-film transistor array (TFT). This multi-layered physical structure enables superior contrast, vibrant colors, and flexible designs not available in backlit technologies like LCDs.

The research aims to adopt deep learning algorithms in order to achieve higher accuracy to improve response efficiency when designing an AMOLED display, based on deep learning algorithms.