— As urban intelligentization evolves deeply toward AIoT, data security has become the cornerstone for the implementation and sustainable operation of artificial intelligence applications. With deep roots in high-precision artificial intelligence, AICT leverages technological innovation to address data security and privacy protection challenges in city-level intelligent systems. Its joint research achievements with universities have won top international invention awards. This honor not only recognizes the Company’s technological strength but also highlights its Physical AI development philosophy centered on data security. From the implementation of technological innovation to the construction of systematic thinking, AICT is demonstrating the profound implication of data security as the lifeline of Physical AI applications through concrete actions.
Winning International Gold Medal, Fortifying Data Security Defense via Technological Innovation
The 51st International Exhibition of Inventions of Geneva, acclaimed as the “Oscar of Inventions”, was recently held grandly, attracting over 1,000 inventions from 35 countries and regions. After rigorous evaluation, the project “Privacy-Aware On-Device Intelligent Computing Device and Applications” jointly exhibited by AICT, University of Science and Technology Beijing, and Tsinghua University stood out and was awarded the **Gold Medal** at the exhibition.
Founded in 1973, the International Exhibition of Inventions of Geneva is co-hosted by the Swiss Federal Government, the State and City of Geneva, and the World Intellectual Property Organization (WIPO). Held annually in Geneva, Switzerland, it is the world’s oldest, largest, and most influential international invention exhibition, focusing on showcasing scientific and technological innovations across a wide range of fields including machinery, electronics, medical care, environmental protection, energy, and information technology. The awards are judged by a panel of internationally renowned experts based on strict criteria of innovation, practicality, and commercial potential. As a core platform for global innovation competition, technological exchange, and industry-academia-research transformation, it serves as an important benchmark for measuring international invention excellence.
Currently, pervasive urban nodes such as perception cameras, radars, and roadside intelligent devices continuously generate massive data, forming a real-time portrait of urban operations. These data provide accurate real-time inputs for intelligent transportation systems, effectively monitoring traffic violations and flow, and significantly improving road safety, network efficiency, and urban management capabilities. Meanwhile, for city-level intelligent systems, data security has become a fundamental issue in urban intelligentization and poses challenges to relevant privacy regulations. AICT’s joint project “Privacy-Aware On-Device Intelligent Computing Device and Applications” precisely addresses core demands of urban intelligentization. Through the R&D and application of privacy-aware on-device intelligent computing devices, coupled with privacy-aware multimodal fused object perception and multi-target differentiated pixel rearrangement, the solution enhances the performance of high-precision AI and urban traffic management efficiency while avoiding exposure of raw sensitive data, thus fortifying the defense line of public information security.
In the R&D and application of the project, AICT and its partners carried out collaborative innovation. On one hand, they co-developed privacy-aware multi-target object perception technology, which dynamically aligns vision and radar point cloud targets through spatio-temporal consistency and maps them into a shared semantic latent space. Combined with traffic task or privacy supervision mechanisms, it reliably separates task-irrelevant targets from privacy-sensitive targets such as pedestrians.On the other hand, they jointly created multi-target differentiated pixel shuffling technology, which applies coarse-grained grids and stronger shuffling intensity to privacy-sensitive targets to destroy their semantic features, while using fine-grained grids and milder shuffling for task-relevant targets. This preserves task statistical features (e.g., violation determination) yet makes individuals visually unidentifiable, enabling back-end adjudication without exposing raw data.
Field applications show that the technology strengthens data security and privacy protection while significantly improving urban traffic management efficiency. To date, the team has been granted more than 90 patents, published over 60 high-quality papers, and received 24 international competition awards.
Dr. Jun Yan, Chairman and Chief Innovation Officer of AICT, stated that the award is a great recognition of the continuous efforts and innovative spirit of the Company’s R&D team over the years. AICT has long focused on the R&D and application of High-precision Artificial Intelligence (HAI) products. So far, its technologies and products have been widely deployed in more than 70 mega-cities including Beijing, Shanghai, Guangzhou, Shenzhen, and Tianjin, forming ultra-large-scale practical applications of high-precision AI. The award-winning project represents a major achievement of the Company’s deep engagement in data security and its effort to build a secure foundation for Physical AI applications through technology.
Reconstruct Security Thinking: Data Security Becomes the Underlying Fundamental Capability of Physical AI Applications
As cities enter the AIoT era, the long-term reliability of AI systems depends not only on intelligence, but on effective control of data, system, and capability boundaries. In this context, data security is no longer a feature—it is the lifeline enabling AI deployment, operation, and evolution.
With AI, IoT, and the Internet forming a real-time urban “neural network,” massive data is continuously generated by cameras, sensors, and platforms. Data is no longer just an input; it has become core infrastructure that determines whether systems can be controlled, audited, and sustained. As AI expands into critical domains such as smart cities and intelligent transportation, controlling how data is collected, used, and managed becomes essential to system governance.
This shift means data security is no longer limited to preventing breaches or attacks. It now defines whether systems can maintain operational control and long-term stability. As a result, security must be embedded throughout system design rather than treated as an add-on.
AICT emphasizes that true security begins with data controllability and boundary governance. Across the entire data lifecycle—from collection to usage—clear access controls, traceable flows, and defined responsibilities are critical to avoiding systemic risks. In addition, system independence and transparency are essential, especially in large-scale urban applications where reliability and recoverability are paramount.
AICT also advocates for closed-loop security systems. By leveraging AI, systems can continuously detect anomalies, assess risks, respond automatically, and improve over time. This transforms security from static protection into a dynamic, evolving capability.
Looking ahead, AICT maintains that data security is a prerequisite for scalable AI adoption. Only by establishing clear boundaries and ensuring system controllability can AI applications develop in a secure, stable, and sustainable manner.
Contact Info:
Name: Wu Jinna
Email: Send Email
Organization: Artificial Intelligent Interconnection Technology Co., Ltd.
Website: http://www.zhihuihutong.com
Release ID: 89188076
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