Baidu Yijian

Baidu Yijian is a multimodal visual intelligence platform designed for real-world industrial environments. It aims to transform conventional video surveillance into a new generation of site management systems with continuous perception, proactive analysis, and coordinated execution capabilities.

In manufacturing, energy, and retail environments, site management has traditionally relied on manual inspection and experience-based judgment. This often leads to delayed risk detection, inconsistent execution of operational standards, high management costs, and limited utilization of on-site data value. In addition, the development of traditional computer vision applications is complex and typically requires specialized algorithm teams, making it difficult to respond quickly to evolving operational needs.

Yijian addresses these challenges by connecting on-site cameras, visual AI engines, alert systems, task workflows, and management terminals into an end-to-end closed-loop system, enabling integrated perception and intelligent decision-making across physical operations. Powered by multimodal foundation models and agent-based capabilities, the platform allows users to create and adjust visual management functions through natural language, without requiring technical or algorithmic expertise. This significantly lowers the barrier to adopting visual AI and enables domain users to define rules, risk scenarios, and operational objectives directly.

Unlike traditional surveillance systems, Baidu Yijian does not only interpret site conditions in real time, but also proactively identifies safety risks, detects process deviations, and monitors material changes. It automatically triggers alerts, task assignments, and resolution workflows. At the same time, it transforms fragmented on-site events into structured insights and operational reports, supporting managers in identifying trends, optimizing processes, and continuously improving operational efficiency.

Baidu Yijian redefines industrial site management by shifting operations from reactive response to preventive control, and from experience-driven practice to data-driven decision-making. It enables a systemic transition from “video surveillance of sites” to “AI-driven autonomous site management,” where AI evolves from a passive observation tool into a system that continuously understands context, actively supports decision-making, and enhances organizational operations.