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Towards Knowledge Formalization and Sharing in a Cognitive Vision Platform for Hazard Control (CVP-HC)
Abstract
Hazards are present in all workplaces and can result in serious injuries, short and long-term illnesses, or death. In this context, management of safety is essential to ensure the occupational health of workers. Aiming to assist the safety manage-ment process, especially in industrial environments, a Cognitive Vision Platform for Hazard Control (CVP-HC) has been proposed. The CVP-HC is a scalable yet adaptable system capable of working in a variety of video analysis scenarios (generality) whilst meeting specific safety requirements of companies by modify-ing its behavior accordingly. To meet generality, the platform is based on the Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). To ensure scalability and adaptability the publishing/subscribe interaction scheme (a loosely coupled communication model) is used over the Robot Operating Sys-tem (ROS) framework.
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Authors (3)
-
Caterine De
- University of Newcastle, Australia
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Cesar Sanin
- University of Newcastle, Australia
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Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- Intelligent Information and Database Systems strony 53 - 61
- Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- De C., Sanin C., Szczerbicki E.: Towards Knowledge Formalization and Sharing in a Cognitive Vision Platform for Hazard Control (CVP-HC)// Intelligent Information and Database Systems/ : , 2019, s.53-61
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-14799-0_5
- Verified by:
- Gdańsk University of Technology
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