As one of the top revenue-generating sectors for AI companies, the security industry remains a pioneer in the adoption of artificial intelligence. Security’s deep integration with AI stems from two key advantages: it is video-driven, producing vast amounts of data ideal for AI algorithm training, and its operational logic—preventive measures, real-time monitoring, and post-incident investigations—aligns perfectly with AI’s structured identification techniques.

Now, with the rise of AI-generated content (AIGC), the security industry is undergoing another transformation. The traditional focus on retrospective analysis is shifting towards proactive prevention and real-time intervention. This shift demands new computing infrastructure to support smarter, faster, and more accurate security solutions. In the AIGC era, what type of server architecture does the security sector need?

1. Powering Structured Video Analytics

As 4K and 8K ultra-high-definition video technology becomes the standard, and as AI-driven security solutions continue to evolve, the sheer volume of image and video stream data generated by surveillance systems requires immense computational power. These workloads need to be efficiently transmitted, stored, trained, and analyzed to enable the structured use of video data for intelligent management of people, vehicles, objects, and incidents.

Traditional DVR and NVR storage systems are no longer sufficient for these demands. Gooxi’s AI servers, equipped with high-performance processors and professional GPUs, provide powerful parallel computing capabilities. Their modular design offers flexible memory configurations, making them ideal for use in advanced applications such as personnel management, video structuring, vehicle analysis, and abnormal behavior detection. This setup significantly boosts the accuracy and speed of target detection and recognition.

2. Unified Control with a Centralized Platform

As the lines between security and AIoT (Artificial Intelligence of Things) continue to blur, the security landscape is becoming more fragmented. From smart cities and intelligent transportation systems to industrial defect detection and artifact authentication, the security ecosystem is growing increasingly complex.

With more AIoT devices deployed at the edge, the challenge lies in managing and processing the vast amounts of data they generate. Gooxi’s servers act as a centralized platform, seamlessly integrating front-end cameras, back-end storage, and terminal display devices. This setup enables unified resource management and efficient allocation across systems.

For example, in smart community projects, Gooxi’s servers serve as the foundation for data management, facilitating intelligent video analytics, facial recognition, access control, visitor management, and more. This centralized approach allows for integrated analysis and decision-making, ensuring smooth operation across security modules such as visual dispatch and command systems.

3. Scalable, Cost-Effective Solutions

In large-scale surveillance projects or distributed storage environments, the ability to scale efficiently is paramount. As the number of monitoring points increases, so do the storage requirements, driving up the need for multiple storage servers. These servers must be equipped for automatic failover, batch configuration, and scalable storage to accommodate expanding video data without sacrificing performance.

Gooxi’s storage servers are designed with flexibility and scalability in mind. Their modular architecture allows for easy expansion and customization, offering significant cost savings—up to 30% compared to competitors. This adaptability makes Gooxi’s servers a cost-effective choice for large-scale video data storage, ensuring both flexibility and affordability.

4. Cloud-Edge Collaboration for Real-Time Performance

Edge servers, which process data locally rather than relying solely on centralized cloud resources, have become a critical component of modern security infrastructure. By processing data on-site, edge servers drastically reduce latency and enable real-time responsiveness, while still working in tandem with cloud platforms for complex computational tasks.

In security applications, edge computing allows for intelligent video analytics, such as facial recognition, crowd analysis, and anomaly detection, to be performed closer to the data source. Gooxi’s edge servers, known for their low power consumption and high performance, provide flexible configuration options and are easy to deploy. This ensures rapid and accurate analysis, enhancing the overall efficiency of security operations.

The Future of Smart Security

As urbanization continues to expand, China’s security industry is keeping pace with rapid development, particularly in video surveillance technology. While the sector may have started later than some, China’s advancements in smart security are now world-leading, and the market is poised for continued growth as smart city initiatives evolve.

Gooxi is committed to supporting this growth by providing high-performance, cost-effective server solutions tailored to the security industry. As a foundational provider of computing power, Gooxi will continue to empower smart security solutions, helping shape a safer, more connected future.