Five years ago, some leaders in the **security** industry introduced a three-phase vision for intelligent security: “visible,†“clear,†and “understandable.†Among these, “understandable†has become the current hot topic, often seen as the prototype of **AI**. Before 2016, the industry had already begun exploring AI-driven applications like facial recognition and video structuring. However, these early attempts faced challenges due to low accuracy and high false positive rates, making it difficult to effectively process large volumes of structured video and facial data. As a result, smart applications lacked real-world usability.
Looking back at the developments covered by the security electronics editor, we can see that recent advancements in deep learning, big data, and algorithm technologies have significantly improved video structuring and massive data processing capabilities. In 2016, AI and big data started to gain traction in the security sector. By 2017, AI applications in security became more diverse, with numerous startups entering the market. It became clear that AI was on the verge of a major breakthrough in the security industry.
**+AI Enhances Video Application Value**
Today, many AI startups are entering the security space, forming what is known as “AI + Security†companies. At the same time, traditional security firms are integrating AI into their existing products, becoming “Security + AI†companies. These approaches are unlocking new commercial value for security systems and products.
Currently, most AI applications in the security field are still considered “non-critical.†This is because AI technology isn't yet mature enough to handle all security scenarios independently. Instead, it needs to work alongside other technologies such as big data, the Internet of Things (IoT), cloud computing, and blockchain to create greater value. In the future, we can expect more integrations like “Security + IoT,†“Security + Big Data,†and “Security + Blockchain.â€
**AI Era: Cooperation Leads the Way**
As AI continues to attract significant investment, the capital market is growing increasingly confident in its potential. The security industry, being one of the most promising fields for AI application, is also seeing a trend toward homogenization. For example, in facial recognition, many AI vendors focus only on “recognition rate,†overlooking the fact that this is just one part of the broader solution needed for real-world security applications.
Companies with deep industry knowledge, such as Hikvision, Dahua, and others, have an advantage in understanding the true needs of the security market. Their long-term experience allows them to better integrate AI into practical applications across industries.
If AI startups collaborate with traditional security vendors, leveraging each other's strengths, they can accelerate AI adoption in the security sector. Through joint innovation and ecosystem partnerships, we can deliver more valuable AI solutions to users. Traditional security companies are already building strategic alliances with AI and VR firms to strengthen their competitive edge—this is shaping the future of the industry.
**Future Trends: Cloud + Edge?**
Despite progress, AI still faces many challenges in security applications. It’s not just about whether a system is "intelligent," but also about solving key issues—many security scenarios require tailored solutions rather than generic AI tools. Customization often leads to higher costs.
In the future, “cloud + edge†computing will likely become the mainstream approach, with intelligent systems moving toward collaborative “federated learning.†Intelligent devices will not only collect data but also learn online. This will enable cloud-based training models to refine and transfer knowledge back to edge devices, creating a closed-loop system that continuously improves performance and enhances the value of video data.
This evolution opens up endless possibilities for the future of video intelligence. If you want to stay updated on the latest developments in security and AI, make sure to follow eeworld. They provide comprehensive, detailed, and up-to-date information on the ever-evolving world of electronic engineering.
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