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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Disassembler: Cloud-Based Solution for Optimized Cutting Tool Quality Control

Working Capital and Financial Performance
article

Disassembler: Cloud-Based Solution for Optimized Cutting Tool Quality Control

article en

Abstract

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.

Marche Polytechnic University (IT), Center for Neuroscience and Cognitive Systems (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Working Capital and Financial Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Disassembler: Cloud-Based Solution for Optimized Cutting Tool Quality Control · (2025) | TGRS Research Map | TGRS