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Vision AI for
Infrastructure

  In recent years, the importance of preventing worker safety accidents has been on the rise in construction and manufacturing sites. Deep learning-based computer vision technology can now recognize dangerous situations, such as workers not wearing helmets, falling, or entering hazardous areas, and immediately send warning alarms.
  Field-specific safety monitoring solutions can not only mitigate the risk of accidents on sites but also analyze accumulated data to proactively prevent them.

Use Cases

Construction Site Safety, Manufacturing Site Safety

Issues and
Needs to Address
  • To move beyond the current passive on-site control system and follow-up management process, an effective solution is required that can actively respond to and address changing situations in the field.
  • Techniques related to model training aim to maintain the stability of performance in new deep learning-based models are necessary.
Solutions and
Applied Technologies
  • Using SNUAILAB's AutoCare, we retrained the AutoCare Vision App based on on-site data.
  • User monitoring of inferenced analysis results using AutoCare Edge through AutoCare VMS (Video Management System).
Results of Technology Implementation

01

Applying AutoCare to the field enables the support of stable deep learning model performance through on-site relearning, ensuring alignment with changes in the field.

02


Deploy AutoCare Edge+VMS in the field and connect IoT devices, such as warning lights, to swiftly support real-time notification functions when events occur.

Are you curious about
SNUAILAB's AI technology
applied across various industries?
Maximize your business values
by adopting industry-specific
AI solutions.
Are you curious about SNUAILAB's AI technology applied across various industries?
Maximize your business values by adopting industry-specific AI solutions.

   sales@snuailab.ai  sales
        snuai@snuailab.ai  general

Seoul  HQ
Seoul National University, 133 Building, Automation and Systems Research Institute, 208th Floor, 1 Gwanak-ro, Gwanak-gu, Seoul Special City

Gwanggyo  R&D / Business
1202th Floor, Building A, Gwanggyo Techno Valley, Advanced Institute of Convergence Technology, 145, Gwanggyo-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do

© 2024 SNUAILAB Co., LTD. All Rights Reserved. 
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   sales@snuailab.ai  sales      snuai@snuailab.ai  general

Seoul  HQ  
Seoul National University, 133 Building, Automation and Systems Research Institute, 208th Floor, 1 Gwanak-ro, Gwanak-gu, Seoul Special City


Gwanggyo  R&D / Business  
1202th Floor, Building A, Gwanggyo Techno Valley, Advanced Institute of Convergence Technology, 145, Gwanggyo-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do

© 2024 SNUAILAB Co., LTD. All Rights Reserved.   Privacy policy     Terms and conditions