In recent years, driven by evolving market demands and advances in technology, security initiatives such as Safe City programmes, the Xueliang Project (Sharp Eyes Project) and Skynet Project have raised the bar for technological innovation across the security industry. Traditional video surveillance is rapidly evolving towards more advanced capabilities, including facial and vehicle recognition, perimeter intrusion detection, big data analytics and intelligent video analysis.

At the same time, the growing demand for smarter and more responsive security solutions has accelerated the adoption of innovative connected devices, such as intelligent access control terminals and smart door sensors. Powered by artificial intelligence, big data and cloud computing, the security industry is becoming increasingly integrated with the Internet of Things (IoT).

Beyond conventional security applications, emerging solutions such as AI-powered command and control platforms, connected vehicle systems and digital twins are expanding the scope of the industry. As a result, AIoT is becoming an increasingly important driver of innovation in security, while the boundaries of the traditional security sector continue to broaden.

The IOTE International IoT & Security and Vision-Based IoT Applications Exhibition will bring together leading companies and industry professionals from across the security and visual IoT value chains, including security hardware manufacturers, video surveillance solution providers and system integrators. The event will provide a platform for industry leaders to exchange insights, explore current developments and discuss future technology trends.

It will also facilitate face-to-face engagement between technology suppliers and end users, helping industry stakeholders identify business opportunities, build partnerships and accelerate the adoption of innovative solutions.

We warmly invite you to join us and be part of this evolving industry landscape. Together, let’s explore the future of intelligent security and Vision-Based IoT applications.