Disassembler: Cloud-Based Solution for Optimized Cutting Tool Quality Control
In Industry 4.0, exploiting the useful life of components can be a competitive advantage for companies in terms of cost and efficiency. In this context, the Disassembler solution of the Horizon Europe project AIDEAS was born. Its main purpose is to create a tool for identifying the wear of industrial cutting tools. The authors propose a deterministic algorithm that supports near-real-time analysis even using nonindustrial cameras. The proposed solution enables validation of the wear status of cutting tools being machined in a non-invasive manner, avoiding wasting time, material and economic resources. The tool proposed by the authors is a client server solution with a Python backend that communicates with the frontend, developed in React, through Flask CORS. Using some photos of new tools as reference, the backend compares the test images, taken, or simply uploaded on the interface by an operator, with reference ones; then a report is generated, and the operator can read up the condition of the element.
Institutions
- Marche Polytechnic University (IT)
- Center for Neuroscience and Cognitive Systems (IT)
Publication Details
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1109/ice/itmc65658.2025.11106662
- Primary Topic
- Working Capital and Financial Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00