In the previous issue, we discussed Brilliance Technology's multimedia intelligent analysis system—how it integrates AI, big data, and edge computing to accurately identify personnel and analyze behaviors, sharpening the "penetrating insight" for risk prevention and control. Among these, the "edge computing" component deserves further emphasis.

In recent years, amid the global wave of digital and intelligent transformation across industries, edge computing has gained increasing attention and application due to its advantages such as real-time performance, high efficiency, low latency, high security, and flexibility. The state has also introduced a series of policies, making strengthened edge infrastructure an irreversible future trend. For example, the "14th Five-Year Plan for Digital Economy Development" explicitly mentions promoting cloud-network synergy and integrated computing-network development, as well as enhancing edge computing capabilities for specific scenarios.

Traditional monitoring systems are more like video recorders—they can present images to managers but lack any capability for active defense or decision-making. The development of edge computing has successfully provided a "breakthrough." It places data processing and analysis engines at the source of data generation, combining edge intelligence to analyze people, objects, and events in real time. This transforms monitoring systems into "guardians" capable of identifying abnormal situations, perceiving real-time operational dynamics in scenarios, and achieving millisecond-level real-time responses. It also coordinates the dispatch of personnel, IoT devices, and other service resources, providing strong support for optimizing management processes, improving service quality, enhancing user experience, preventing operational risks, and reducing costs while increasing efficiency.

〡 Edge Computing Enhances Time-Sensitive Information Processing Capability

"In certain specific scenarios, we need to complete identification and judgment in an extremely short time," introduced the product manager of Brilliance Technology's multimedia intelligent analysis system. "For example, in emergencies such as fires or stampedes, every second counts for safety. Through edge cloud deployment, computing resources near the devices or terminals can process data faster, while lower network latency helps complete tasks more quickly. This includes monitoring personnel behavior in bank branches only by instantly completing behavior judgment and issuing alerts, promptly stopping non-compliant actions and enabling optimization, can the alerts be meaningful. This is the value of edge computing."

"From a technical perspective, taking monitoring as an example, data is generated in real time and in massive volumes. The processing of huge amounts of data and limitations in bandwidth have spurred the application of edge computing. Data in edge computing is processed directly on edge devices or local servers without needing to be uploaded to the cloud, significantly reducing transmission time. At the same time, the communication load is smaller compared to traditional methods, greatly alleviating bandwidth pressure. This enables real-time response and processing of time-sensitive information."

〡 Edge Computing Offers Higher Reliability, Security, and Flexibility

Edge computing is typically deployed for specific areas and scenarios. On one hand, redundant design gives edge computing models higher reliability and offline capability—even if some edge nodes fail, others remain unaffected. On the other hand, in harsh environments such as remote factories, edge computing requires less space and offers more convenient and flexible deployment. In abnormal situations like weak or disconnected networks, edge nodes can still operate independently, making them more reliable.

Moreover, for scenarios with high requirements for data privacy and security, edge computing eliminates the need to upload relevant data to the cloud, reducing the risk of information leakage and providing more reliable protection for privacy and security issues involved in the data.

〡 The First "Line of Defense" for Guarding Intelligence

In the previous article, we envisioned many future application scenarios for the multimedia intelligent analysis system, including its use in industrial safety production to monitor operational compliance and manage dangerous zones; in medical care to monitor anomalies such as patient falls; and in license plate recognition for real-time accident warnings and evidence collection of violations. None of these would be possible without the support of edge computing.

Edge computing acts like an "entry gate," feeding valuable data and analysis results into the "intelligent brain" to transform them into decision-making support. Integrated with emerging technologies such as artificial intelligence, big data, the Internet of Things, and 5G, it helps create a more ideal digital world. At the same time, this "gate" is undoubtedly the first "line of defense" for security prevention and control and will play an increasingly important role in future digital and intelligent development.