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HANGZHOU, China, Dec. 17, 2025 /PRNewswire/ — Automation.com, a subsidiary of the International Automation Association (ISA), and Hikvision have announced a new joint white paper highlighting how video intelligence powered by AI at scale can transform efficiency and accelerate smart manufacturing.
Automation.com and Hikvision have announced a new joint whitepaper exploring how large-scale AI technologies are reshaping manufacturing performance.
Once used primarily for security purposes, video systems have become one of the most valuable operational data sources in factories and industrial parks, accelerating smart manufacturing processes. Today's cameras provide continuous visibility into assembly processes, equipment movements, quality details, and high-risk work areas, giving manufacturers real-time visibility into complex production environments.
However, the amount and complexity of video footage makes manual interpretation impractical. This is where AI at scale becomes essential, enabling advanced artificial intelligence applications across manufacturing operations.
Beyond simple rules-based analysis, large-scale AI in manufacturing can interpret context, detect anomalies, recognize human-machine interactions, and retrieve specific events from vast video archives through natural language queries. This transforms video from passive surveillance into a powerful engine of operational intelligence that helps prevent accidents, reduce downtime, and improve overall quality and efficiency.
A joint white paper by Automation.com and Hikvision examines how large-scale AI technologies, including Hikvision's Guanlan model, are reshaping key areas of manufacturing performance.
- Manufacturing Park Operations – AI-enhanced video improves campus visibility, reduces false alarms, and speeds up incident search and verification with natural language queries, enabling faster response and smoother daily operations in a smart manufacturing environment.
- Plant safety and risk prevention – Prevent accidents, reduce risk, and reduce manual oversight by automatically detecting early signs of PPE issues, hazardous interactions, smoke or leaks.
- Production line quality control – Real-time video inspection identifies assembly errors, missing components, and packaging issues, improving product quality, reducing rework, and more consistent production.
Both of these applications represent significant changes. Video is no longer a static recording, but an active intelligence layer that supports safer, leaner, and more reliable manufacturing powered by AI in manufacturing.
In the future, the integration of AI-driven video and robotics, automated material handling, and industrial IoT systems will further accelerate smart manufacturing. As AI becomes better able to understand long and complex activity sequences, manufacturers will gain richer insights to drive predictive and adaptive operations.
Download the full whitepaper to explore how the latest generation of AI-powered video intelligence at scale is transforming manufacturing, turning video into a strategic source of insight and factory-wide optimization.
