Edge Computing Solution
Enabling faster and more efficient real-time decision-making by processing data closer to the source
Industry Overview
Edge computing is a decentralized computing system that moves data storage and computation closer to data sources or end users. This close proximity to the data source minimizes latency and bandwidth consumption, allowing for speedier data processing and real-time decision-making.
Edge computing finds its utility wherever data originates. It transforms factory floors and warehouses through automation, optimizes fleet management in transportation, and revolutionizes smart cities with advanced parking management and intelligent buildings. The advent of AI and 5G technologies has amplified the flexibility, intelligence, and connectivity of edge computing.
As a leading embedded computer manufacturer, SINSMART delivers edge+ solutions, seamlessly integrating domain-specific software, AI, wireless connectivity, and cloud integration. These solutions empower a wide array of AIoT applications, fostering innovation and efficiency across various industries.
Core Capabilities / Advantages
Reduced latency
- Edge computing processes data closer to its source, significantly reducing the time it takes to send data back and forth to centralized servers. This low latency is critical for applications that require immediate reactions, such as self-driving cars, industrial automation, and live video streaming.
- Edge computing reduces the amount of data required to be transferred to central data centers by processing and filtering it locally. This optimization lowers bandwidth consumption and costs, making it perfect for data-intensive applications such as video surveillance and IoT devices.
- Edge computing improves system resilience by allowing local devices to function independently from the cloud. Even in the face of network disruptions or restricted connectivity, edge devices can continue to function and make key choices, assuring continuous service.
- Processing data at the edge eliminates the need to transport sensitive information over the network, lowering the risk of data breaches and improving privacy. This is especially advantageous in businesses like healthcare, finance, and retail, where data security is critical.
Related Edge AI Solution
Application of embedded industrial computers in AI computing power
AI computing power refers to the computing resources required in the field of artificial intelligence, including hardware devices such as processors, graphics cards, servers, and corresponding software algorithms and system support. As one of the core technologies of artificial intelligence, AI computing power is an important foundation for supporting the application and development of artificial intelligence.
Applications of Industrial Computer in Edge Computing
Edge computing is like moving computing power and data processing functions closer to us, just like a mobile phone needs to transmit data to a cloud server far away in another city for processing, then the transmission time will be very long, and it will take a long time to get the results.
Application of Industrial Computers in 5G Edge Computing
Edge computing is a distributed computing model that pushes data processing and computing power from traditional centralized cloud computing data centers to the edge of the network, that is, close to the data source and terminal devices, usually located in devices, routers, sensors or other smart devices around us, which can process data directly without transmitting data to distant cloud servers.