Smart Tool Wear Detection with AI Vision
The Challenge
In many machining companies, tool wear is still managed using fixed intervals or operator experience. This often leads to tools being replaced too early (increasing costs) or too late (causing defects, scrap, or machine damage). Commercial solutions exist but are often expensive, complex, or locked into specific systems. SMEs need a simple and affordable way to monitor tool condition and make better decisions about tool replacement.
What This Demonstrator Does
This demonstrator uses a vision-based system to monitor the condition of cutting tools. A camera device captures images of the tool edge and analyzes wear patterns in real time.
The system provides insights into the current state of the tool, including wear level and estimated remaining useful life. The data is processed and visualized through a simple dashboard, allowing operators to quickly assess tool condition.
The solution is designed to be non-intrusive and easy to integrate, requiring minimal changes to existing machines. It also connects to a digital platform for data storage, monitoring, and further analysis.
What You Gain
- Reduced tool costs by avoiding premature replacement
- Improved product quality and reduced scrap
- Better planning of tool changes (predictive instead of reactive)
- Increased process reliability
- Data-driven insights into tool performance
Who Is This For?
This demonstrator is suitable for machining SMEs using CNC machines where tool wear directly impacts quality and cost. It is especially useful for companies working with high-value parts, tight tolerances, or long machining cycles.
It is ideal for companies looking to introduce predictive maintenance concepts without investing in complex or expensive systems.
Estimated Cost to Implement
Total estimated budget: €5,000–€6,000 for a basic setup
Pilot Program
What does a pilot look like for this demonstrator?
A camera-based system is installed to capture images of selected tools during or between machining operations. The system analyzes wear over time and provides feedback on tool condition and replacement timing. The SME validates improvements in tool usage, quality, and process stability.
Services provided during the pilot:
- Installation and configuration of vision system
- Setup of image acquisition and analysis workflow
- Training session for operators
- Dashboard setup and interpretation guidance
- Monitoring and support during pilot
- Final report with insights and recommendations
What you need to have / provide:
- CNC machine with accessible tool area
- Basic visibility for camera installation
- Stable lighting conditions (or provision for lighting)
- Network connection (optional for data transfer)
- Contact person for coordination