AI image analysis specialist C-Lab (CEO Wooyoung Lee) announced on the 25th that it participated in the '2025 AWS Partner Cloud Solutions Conference' for manufacturing customers and presented cases of AI automation and cloud conversion for the manufacturing industry.
This conference, held at the Lotte Hotel in Seoul, is a large-scale IT event attended by over 1,000 manufacturing industry professionals every year. It is a place to share cutting-edge cloud technologies and implementation cases in the manufacturing industry based on the expertise and experience of AWS partners, and to support digital innovation and productivity improvement for companies.
On this day, SeeLab introduced a method of utilizing the VLM (Vision Language Model) model to increase system operation efficiency and improve analysis accuracy in the manufacturing industry, with the topic of AI automation and cloud conversion cases utilizing Vision AI solutions.
In particular, it emphasized that by operating AI analysis models based on the AWS cloud, quality improvement, operation optimization, and cost reduction effects can be maximized, and a strategy was presented to improve the level of automation in manufacturing sites and facilitate the construction of smart factories by combining Vision AI models and digital twin technology.
Along with the session presentation, C-Lab unveiled its new product, XAIVA On-Device, at the booth. XAIVA-On-Device is an AI-based automated hygiene management solution for the bio and GMP (Good Manufacturing Practice) industries. Equipped with an on-device AI model in the form of a mobile kiosk, it can quickly check the hygiene suit wearing status of field managers and the number of people moving around the clean area.
In particular, it automatically inspects detailed elements such as hair and mustaches in less than 1 second by utilizing AI object detection and tracking technology, shortening the existing manufacturing process and greatly improving work efficiency. In addition, it is equipped with a lightweight AI model, maintaining optimal performance even in limited environments, enabling cost-effective and highly productive AI-based implementation in the bio and semiconductor industries.
“We expect that this conference will accelerate AI and cloud innovation in the industry,” said Lee Woo-young, CEO of Cielab. “Based on our collaboration with AWS, we will increase the level of automation in various industries through Vision AI solutions and support more customers to experience AI-based factory innovation.”
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