Industrial Vision System for Wood Packaging in the Agri-Food Industry
Project Overview
Our client specialized in the manufacturing of wooden packaging wanted to implement a quality control system to ensure the compliance and reliability of its products. Wooden packaging is widely used in the agri-food industry: it is crucial to ensure its robustness, safety, and durability.
Objectives
The client's request was to design and implement a quality control process using industrial vision to detect the following defects :
- Cracks,
- Knots,
- Holes,
- Splinters,
- Color and texture variations,
- Surface imperfections.
Project Phases
Analysis of Potential Defects :
- Identify common defects in wooden packaging, such as cracks, splinters, defective knots, color variations, etc.
- Define the visual characteristics of compliant and non-compliant products,
- Select suitable cameras, lenses, and lighting to capture high-quality images of wooden packaging,
- Evaluate Industrial Vision systems available on the market, considering performance, accuracy, and image processing capabilities.
Development of Image Processing Algorithms :
- Design and develop image processing algorithms to analyze images captured by the cameras.
- Program defect detection and visual feature analysis algorithms to identify anomalies in wooden packaging.
Configuration of the Industrial Vision System
- Set up the vision system by integrating cameras, image processing software, and lighting devices.
- Configure image capture parameters, processing algorithms, and detection thresholds to meet quality control criteria.
System Testing and Optimization :
- Perform tests using representative samples of wooden packaging with different known defects.
- Analyze test results, adjust system parameters, and optimize algorithms to improve inspection accuracy and reliability.
Integration of the System into the Production Line:
- Integrate the Industrial Vision system into the wooden packaging production line.
- Automate the inspection and sorting process of compliant and non-compliant products using the information provided by the Vision system.
Results :
- Scrap rate below 0.5%
- Zero quality non-conformities
- Economic gain
Benefits:
- Improved product quality and reliability
- Reduced production costs
- Increased production efficiency
- Improved traceability and compliance
- Enhanced customer satisfaction