Integrated Computer Vision System for Defect Detection
Hardware and software system powered by artificial intelligence for the automatic detection of defects in industrial materials prior to processing.
The client
A manufacturer of industrial processing machinery, with an established presence in international markets and installations worldwide.
The challenge
The client wanted to equip its machines with the ability to automatically detect defects in materials prior to processing.
The system needed to:
- identify defects with significant variability in type and size
- allow operators to easily and quickly confirm, correct, or supplement the automatic detection
- operate reliably in an industrial environment
The goal was to improve quality control while accelerating the production process.
Solution
We designed and developed an integrated computer vision system, combining custom hardware with artificial intelligence algorithms.
The solution includes:
- An acquisition system featuring 16 high-resolution industrial cameras, specifically designed for this application
- Machine learning–based software for automatic defect detection
- An intuitive operator interface for validating and adjusting the results
The system was directly integrated into the machine, becoming part of the standard operational workflow.
Methodology
- Analysis of material types and defect categories
- Design of the image acquisition system
- Data collection and annotation
- Training and validation of AI-based recognition models
- Software and operator interface development
- Real-world testing and system optimization
Services Involved
Technologies
- Custom high-resolution industrial cameras
- Computer vision and deep learning algorithms
- High-performance image processing system
- High-usability user interface
Looking to integrate a computer vision system into your industrial machinery?
We design tailored solutions to automate quality control and enhance the performance of your production systems.
Results
We designed and developed the entire vision hardware system, built the software for automatic defect detection, and integrated the solution into the production process, ensuring smooth operation aligned with processing times.
Ongoing collaboration with the client, including on-machine testing phases, enabled us to deliver a system closely aligned with real production conditions.
How the System Works
- The operator loads the material into the machine and starts the process
- The system captures the image and automatically identifies the material contours and any detected defects
- The operator can quickly intervene to add or correct detections if needed
- The system leverages these corrections to improve recognition performance progressively
Benefits
- Improved finished product quality
- Higher detection accuracy compared to manual inspection
- A simpler, more structured production workflow
- Reduced labor, operational costs, and processing time
Conclusion
The integration of an AI-based computer vision system transformed quality control from a manual task into an automated, scalable process that continuously improves over time.
The result is a smarter, more autonomous machine capable of consistently maintaining high-quality standards.
By designing and developing the entire system, from hardware and software to custom electronics manufacturing, we optimized every component and integration point, maximizing performance, reliability, and efficiency.