Reported 12 months ago
With the widespread adoption of edge computing and AI technology, 'Edge AI' has become a key technology for the automation and intelligence of manufacturing processes. Quansun Technology, originating from the research team at Yang Ming Jiaotong University, has developed an intelligent application control solution for edge AI and computing platforms named OOS (OPrueba Orchestration System), simplifying the management of tens of thousands of machines and equipment in manufacturing sites. The OOS platform can assist independent software vendors (ISVs) in integrating the interfaces required by terminal equipment quickly, including Ethernet, Wi-Fi, 4G/5G mobile communication, and IoT interfaces such as RS-232 and RS-485. Quansun Technology CEO, Ju Hong-xiong, mentioned that the architecture of OOS not only leverages the low-latency characteristics of edge computing, but also shortens time to market, reduces CAPEX by 50% and OPEX by 80%, and efficiently enables a small number of individuals to manage over 10,000 devices and services. Quansun Technology has collaborated with Intel, Palo Alto Networks, CTOne, Yidat, and New Han earlier this year to deepen integration in the fields of information security, image monitoring, and AI inference, simplifying the execution and deployment between IT and OT, enhancing flexibility in the deployment and operation of smart factories, smart agriculture, and smart cities. In order to expand its market presence, Quansun Technology has actively participated in exhibitions such as CES, MWC, and Embedded World this year to enhance international visibility and plans to explore overseas markets such as Singapore, Vietnam, Japan, Europe, and North America.
Source: YAHOO