Nota Cuts Server Deployment Costs by Up to 85% Through AI Video Monitoring Optimization
TECHWORLD · · 1 views
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Nota applied model lightening and hardware-specific execution optimization to its AI video monitoring solution, Nota Vision Agent.
This reduced the computing power and memory usage needed for video analysis, and the company said it cut server deployment costs by up to 85%.
Nota plans to expand the solution to industrial safety, manufacturing, and transportation, and will unveil it at the 2026 Korea Construction & Safety Expo at KINTEX in Ilsan from the 14th to the 16th.
Nota applied AI model lightening and optimization technologies to improve the computational efficiency of its AI video monitoring solution. The company applied model lightening and hardware-specific execution optimization to its video monitoring solution, Nota Vision Agent, reducing the computing power needed for video analysis and also lowering memory usage.
As a result, it cut server deployment costs. The reduction in server deployment costs reaches up to 85%. It also expanded the operating environment to servers, cloud, mobile, and edge devices.
Nota Vision Agent is based on VLM. The solution analyzes objects, behavior, and contextual situations in real time. The AI agent explains the analysis results in natural language and automatically writes key points into reports.
The solution is being expanded to industrial safety, manufacturing, and transportation. The supported functions are video monitoring and situation logging for on-site managers. Nota will unveil this at the 2026 Korea Construction & Safety Expo, which will be held from the 14th to the 16th at KINTEX in Ilsan.
The company explained that when optimization technology is applied, the number of video channels that can be analyzed on the same server resources can be increased by up to 2 times, and server deployment costs can also be reduced by up to 85%. It also said the monitoring scope can be expanded based on existing infrastructure.
Based on its optimization technology, Nota is operating AI models tailored to each customer's infrastructure environment and operating conditions. The company said it is focused on responding to differences in the number of cameras, server environments, and performance requirements across industrial sites, while increasing the utilization of existing computing resources.
Nota Vision Agent is currently being applied at industrial safety sites of more than 20 companies. It is being used to manage heavy equipment safety, check compliance with work procedures, detect hazardous situations, and confirm whether protective gear is worn.
At this expo, Nota plans to introduce use cases tailored to each company's work environment based on its real-world deployment experience. It also plans to showcase a hands-on program that determines whether visitors are wearing safety helmets, masks, and gloves, and whether they are entering restricted areas.
Based on its experience applying video monitoring solutions in industrial safety, Nota plans to expand its scope of application. The starting point for this expansion is industrial safety, and the target areas are manufacturing, construction, and transportation. Chae Myeong-su, CEO of Nota, said the company plans to expand the application of AI optimization technologies and solutions to industrial sites such as manufacturing, construction, and transportation, based on its accumulated experience in industrial safety video monitoring.
To that end, Nota is pursuing simultaneous optimization of models and hardware. The company is focusing on improving the utilization of existing infrastructure and reducing the cost of AI adoption and operations. Chae Myeong-su emphasized that as corporate AI adoption expands, the efficiency of AI operations within existing computing infrastructure becomes important.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408093
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Source: TECHWORLD
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