Nota NVA Wins Global Edge AI Award
Published2026.05.12 11:18.jpg)
Analysis of 32 video channels from a single edge device, application of VLM-based monitoring technology
Nota announced that its video surveillance solution, NVA (Nota Vision Agent), won the Large-Scale Multimodal Model category of the 'Edge AI & Vision Product of the Year' awards at the 'Edge AI & Vision Summit 2026' held in Santa Clara, USA. The awards evaluate products in the fields of Edge AI, Computer Vision, and Physical AI based on technological innovation, customer influence, market impact, and differentiation from competing products.
NVA is a generative AI video surveillance solution that analyzes scenes and situations within video based on Vision Language Models (VLM). While existing video analysis technologies focused on detecting fixed objects such as people, vehicles, and things, NVA interprets scenes where multiple objects and actions appear simultaneously to generate real-time explanations, accident summaries, and safety reports.
This solution is designed to run high-performance VLM on field edge equipment rather than on cloud servers. It can analyze up to 32 video channels in real time with a single edge device and has achieved a performance of over 85% based on the F1 score, which evaluates both detection accuracy and omission prevention. It is structured to reduce the process of sending video data to external servers and allow analysis results to be utilized immediately on-site.
Demand for edge-based video analysis is increasing in fields requiring real-time decision-making, such as traffic, industrial safety, and smart cities. Performing analysis on field equipment reduces network latency and data transmission burdens, offering significant potential for application in large-scale video surveillance environments.
Nota has accumulated technology to run AI models in various hardware environments through its AI model optimization platform, 'Netspresso'. With this award, the company plans to expand NVA into fields that utilize a lot of video data, such as transportation, industrial safety, and smart cities.
CEO Chae Myeong-su stated that on-device AI optimization technology has been verified as product competitiveness in real industrial environments and that the company plans to expand its application areas in the global edge AI market.
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