Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61900
Title: Towards Knowledge Formalization and Sharing in a Cognitive Vision Platform for Hazard Control (CVP-HC)
Contributor(s): de Oliveira, Caterine Silva (author); Sanin, Cesar  (author)orcid ; Szczerbicki, Edward (author)
Publication Date: 2019-03-07
DOI: 10.1007/978-3-030-14799-0_5
Handle Link: https://hdl.handle.net/1959.11/61900
Abstract: 

Hazards can be found in all work environments and may cause injuries, illnesses, or fatalities. In this context, controlling of risks and safety management has become indispensable to guarantee the laborers wellbeing in worksites. Aiming to achieve a systematic, explicit and comprehensive system for managing safety risks, a Cognitive Vision Platform for Hazard Control (CVP-HC) has been proposed. This platform is designed to automatically detect unsafe activities and improve the decision making process when they occur in different workplace scenarios, while attending specific safety requirements of organizations by adapting its behavior accordingly. To meet generality, the CVP-HC utilizes the Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA) to administrate knowledge. To ensure scalability and adaptability, a loosely coupled communication model, the publishing/subscribe interaction scheme is used over the Robot Operating System (ROS) framework.

Publication Type: Conference Publication
Conference Details: ACIIDS 2019: 11th Asian Conference on Intelligent Information and Database Systems, Yogyakarta, Indonesia, 8th -11th April, 2019
Source of Publication: Intelligent Information and Database Systems, p. 53-61
Publisher: Springer
Place of Publication: Germany
ISSN: 9783030147990
9783030147983
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Series Name: Lecture Notes in Computer Science
Series Number : 11431
Appears in Collections:Conference Publication
School of Science and Technology

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