An Edge-Assisted Video Computing Framework for Industrial IoT

With the rapid development of industrial demands, the Internet of Things triggers enormous interests by industry and academia. By employing IoT technologies, a large number of problems in the industry can be solved by intelligent sensing, wireless communication, and smart software analysis. However, in applying Industrial IoT to improve real-time and immerse user experiences, we found that compared to traditional application scenarios such as tourism, or daily experiences, industrial IoT applications face challenges in scalability, real-time reaction, and immerse user experiences. In this paper, we propose an edge-assisted framework that fits in industrial IoT to solve this fatal problem. We design a multi-pass algorithm that can successfully provide a real sense of immersion without changing the single frame image visual effect in terms of increasing rendering frame rate. From experimental evaluation, it shows that this edge-assisted rendering framework can apply to multiple scenarios in Industrial IoT systems.