Artificial Intelligence in Manufacturing for Sustainable Applications at SMEs

Digital, Industry & SpaceHORIZON-IAID: 101092312
EC Contribution
€77,388
Consortium Size
14 orgs
Start Year
2023
Summary

The AIRISE project will support European SMEs in the uptake of Artificial Intelligence applied to manufacturing, with a specific focus on the use of AI-enabled applications at the edge. The key objective for applications is a reduction of waste and carbon footprint while ensuring the resilient operation of manufacturing. The consortium will create an eco-system where the project’s AI experts will support experimenting SMEs and connect them to Digital Innovation Hubs and commercial companies to achieve real-world applications. Open Calls will allow SMEs to easily access AI expert competence through first-stage assessments that identify the status and potential and through further proposals that support them in running pilot applications and validation experiments. The ambition of AIRISE is to support more than 500 cases from SMEs and mid-caps on key AI applications at the edge. Support from the consortium will be complemented on security and connectivity by involving external resources in cybersecurity and IoT and on smart working environments by offerings on operator interfaces and collaborative robots.

Consortium (14)

Project Results (16)

Source: CORDIS, the EU research results database.

Publications (12)
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)· 2025DOI
Khurram Azeem Hashmi; Talha Uddin Sheikh; Didier Stricker; Muhammad Zeshan Afzal
Sensors
MDPI Sensors· 2025DOI
Tahira Shehzadi; Ifza; Didier Stricker; Muhammad Zeshan Afzal
"Chapter in the book ""Advances in AI in Manufacturing (2)"""
· 2024
Luis Usatorre, Sergio Clavijo, Maialen Murua, Iñigo Sedano
Ethics, data and privacy management for AI solutions in manufacturing at SMEs
· 2024
S. Hommerson, C. Gallese, F. Garel, A. Aleksovska, H. Bikas
In-process Detection of Low and High Frequency Chatter in Robot Machining
· 2024
T. Souflas, C. Papaioannou, D. Manitaras, C. Gerontas, P. Stavropoulos
UnSupDLA: Towards Unsupervised Document Layout Analysis
Lecture Notes in Computer Science ISBN: 9783031704413· 2024DOI
Talha Uddin Sheikh; Tahira Shehzadi; Khurram Azeem Hashmi; Didier Stricker; Muhammad Zeshan Afzal
Sensors
MDPI Sensors· 2023DOI
Shehzadi, Tahira; Hashmi, Khurram Azeem; Stricker, Didier; Afzal, Muhammad Zeshan
Use of Artificial Intelligence at the level of manufacturing processes
· 2023
P. Stavropoulos, A. Papacharalampopoulos, D. Christopoulos
AI Applications in Manufacturing: Optimizing Production Processes and Enhancing Sustainability in the Food Industry
L.Usatorre, M.Murua, P.Kefis
Are EU manufacturing SMEs ready for AI-ethics? An exploratory study of real- life AI applications
S Hommerson. I Herrewegen, E Nunez Castellar, W. Ijsselsteijn
Learning More with Less Data in Manufacturing: The Case of Turning Tool Wear Assessment through Active and Transfer Learning
ProcessesDOI
Alexios Papacharalampopoulos, Kosmas Alexopoulos, Paolo Catti, Panagiotis Stavropoulos, George Chryssolouris
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
Deliverables (3)
Other Results (1)
Periodic Reporting for period 1 - AIRISE (Artificial Intelligence in Manufacturing for Sustainable Applications at SMEs)