ECSEL 2020 IA StorAIge
| Reference number | |
| Coordinator | Kungliga Tekniska Högskolan - Institutionen för maskinkonstruktion |
| Funding from Vinnova | SEK 10 914 226 |
| Project duration | July 2021 - October 2024 |
| Status | Completed |
| Venture | ECSEL |
Important results from the project
The project results have met the set objectives. The upgraded SiLago framework from KTH is now more energy efficient and adapted for AI/ML algorithms (edge AI). Strikersoft´s new AI algorithms for three diseases (Heart Failure, Atrial Fibrillation and SEPSIS) have over 80% accuracy and have been tested in SiLago´s framework for Edge AI. Atlas Copco has demonstrated a complete bolt-tightening station with AI models and sensor fusion. Continued research has already started.
Expected long term effects
For both Atlas Copco and Strikersoft, the produced proof of concepts constitute potential new edge-AI based products, with potential for flexible and efficient assembly, and reduced healthcare costs. Strikersoft has developed and tested new AI algorithms for three critical conditions, tested on the SiLago framework and prepared for integration into a production platform. KTH has further developed and validated the SiLago framework in industrial use cases, which has shown its future potential.
Approach and implementation
StorAIge has adopted a use-case driven approach to focus requirements, collaboration and work efforts. The Swedish partners contributed two use-cases with efforts in the requirements, design platforms, and demonstrator work-packages. Partner collaboration was organized related to these activities, with further interactions with partners available in the larger StorAIge consortium. The project involved academic and industrial PhD students, industrial experts and senior academic researchers.