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.
Authors
- Caterine De,
- Cesar Sanin,
- prof. dr hab. inż. Edward Szczerbicki link open in new tab
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-3-030-14799-0_5
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2019
