How Åsljunga Pallen ensures production quality with AI-based image analysis
How Åsljunga Pallen ensures production quality with AI-based image analysis
Pallet production operates at high volume, but the ability to ensure consistent quality through manual inspection is limited.
Challenge
Åsljunga Pallen manufactures pallets from raw logs to finished products, with hundreds of different pallet models—many with strict quality requirements. With approximately 600,000 nails driven in every day, it quickly becomes clear that manual inspection alone is not sufficient to maintain consistent quality.
Solution
The work began with a workshop to identify relevant digitalization and AI initiatives within the business. Three AI and machine learning solutions were developed and implemented to enable automated quality control:
- Analysis of log diameters
- Detection of misaligned boards
- Identification of nails that have not been properly driven into finished pallets
The solutions combine classical computer vision with machine learning, and are designed to be modular, cost-effective, and easily replicated across multiple points in the production process.
Result
- Reduced production stops in the board line
- Improved working environment in the sawmill by reducing the need for manual monitoring
- A higher rate of defect detection compared to previous manual inspection processes
