The Kolon Gimcheon Plant 2 deployment has yielded strong operator feedback on NVA’s ability to monitor safety and flag risks in real time.

Overall, industrial safety deployments use video monitoring to detect unsafe conditions and violations, with quick, summarized reporting.

The partnership involves sharing field-operating data with NVIDIA’s VSS team to co-develop Video AI Agent technology, forming a cooperative AX (AI Transformation) framework for real-world domains.

NVA’s traffic control system provides real-time incident detection and automatic lane-specific summaries, attaining the ITS highest accuracy rating in the Ministry’s evaluation.

Nota AI and NVIDIA are expanding Nota Vision Agent (NVA) by integrating NVIDIA’s Video Search and Summarization (VSS) technology to create a more capable, AI-driven video monitoring solution.

The press release announcing the collaboration is dated June 1, 2026, with original content available via EQS News and PR Newswire.

Media contact for the announcement is [email protected].

In traffic control, NVA operates at the Daejeon Regional Office of Construction and Management to detect incidents such as accidents and fires, summarize lane-specific conditions, and report automatically, achieving 99% accuracy in the Ministry of Land, Infrastructure and Transport ITS basic performance evaluation.

The Daejeon traffic control deployment also improves controller efficiency through automated incident detection and lane-specific reporting.

The collaboration aims to move beyond basic detection toward practical decision-making in areas like industrial and public safety, traffic control, and smart cities, leveraging VSS 3.1 multi-agent capabilities and NVA’s field customization.

In industrial safety, NVA is deployed at Kolon Industries’ Gimcheon Plant 2 with Kolon Benit to monitor worker safety, dangerous areas, and potential rule violations, enabling rapid identification and natural-language reporting of dangerous situations.

The collaboration emphasizes advancing from object detection to AI-driven video agents that understand situations and support real-time decision-making.