AI and robotics for quality and risk management processes in industrial harsh environments and pandemic areas
Project Status: cancelled
Start Date: April 2021
End Date: March 2024
Budget (total): 7175.75 K€
Effort: 81.86 PY
Project-ID: C2020/2-8
Name: Tomi Pitkäaho
Company: Centria University of Applied Sciences
Country: Finland
E-mail: tomi.pitkaaho@centria.fi
BEIA GmbH, Austria
Geodata Ziviltechnikergesellschaft mbH, Austria
Centria University of Applied Sciences, Finland
Boliden Oy, Finland
Merius Oy, Finland
Pehutec Oy, Finland
Probot Oy, Finland
Apex Automation Oy, Finland
Feasib Consulting Oy, Finland
Sensmet Oy, Finland
Luleå University of Technology, Sweden
Fieldrobotix AB, Sweden
Luleå Energi Elnät AB, Sweden
Elektroniksystem i Umeå AB (Elsys), Sweden
Acd Bilgi Islem ltd.sti., Turkey
Bilbest, Turkey
Inovasyon Muhendislik, Turkey
Softtech, Turkey
Yongatek, Turkey
Dasal Havacilik Teknolojileri, Turkey
Abstract
In the AIROHARSH project we aim to achieve this transformational change to overcome various technological shortcomings in wireless technologies, wireless sensors, robotics (drones and mobile robots), artificial intelligence (AI) and image analysis. The current bottlenecks of 4G in IHC have been identified and the AIROHARSH project utilises wireless technologies (5G, and edge services) as the enabler by investigating on how 5G solves the bottlenecks. These technologies will act as a backbone in supporting novel AI and image processing technologies on autonomous drones and mobile robots. A fusion of these technologies go hand in hand in achieving autonomous systems and solutions for complex inspection and monitoring tasks. The tools and technologies developed will support depicted IHC use cases in industries such as manufacturing, tunnelling, mining, and energy.
The AIROHARSH project aims to develop technological solutions addresses to the particular use case challenges like (1) the integration of 5G and edge services, and the robotic systems that are connected into IHC to solve current communication bottlenecks, (2) the navigation and positioning difficulties of autonomous drones and mobile robots in IHC, and (3) the up-to-now rather poor problem-solving capabilities of AI and image analysis tools in practical IHC-applications. The use case results of the AIROHARSH project will provide novel solutions, products and services to industries operating in industrial harsh conditions to ensure profitability, safety and quality. From the technological point of view, the results of AIROHARSH will go beyond the state-of-the-art, motivate further research projects, and create new business opportunities to SMEs, large scale technological companies, and research institutes.