Edge caching for low-latency playback refers to the strategic storage of digital content closer to the end-user to minimize latency and enhance playback performance, particularly in digital signage networks.
Edge AI processing refers to the deployment of artificial intelligence algorithms directly on devices at the edge of a network, enabling real-time data processing and decision-making without the need for cloud connectivity, particularly enhancing digital signage systems by providing localized and immediate content adaptation.
Edge blending is a technique used to seamlessly merge multiple projected images to create a single, unified display, often employed in large-scale visual presentations.
Edge computing for digital signage refers to the practice of processing data near the source of data generation, reducing latency and enhancing performance for digital displays.