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Testing of traceability and quality assessment with image analysis/AI using a harvester as platform.

Reference number
Coordinator Tracy of Sweden AB
Funding from Vinnova SEK 1 409 817
Project duration November 2024 - May 2026
Status Completed
Venture Advanced digitalization - Enabling technologies
Call Test and demo of advanced digitization in a real environment

Important results from the project

The project has fulfilled its goal of demonstrating how modern image analysis and artificial intelligence can be used to identify quality characteristics already at the time of harvesting and create the conditions for full traceability through the forestry value chain. The project shows clear market potential through customer interest in the technology/applications, and contributed to new collaborations and strengthened the company´s position within Swedish forestry research and innovation.

Expected long term effects

The project´s results contribute to a more sustainable and data-driven forestry. The technology can provide better control over raw material flows, earlier detection of damage and improved use of forest raw materials. It can also support future eligibility requirements on traceability and sustainability reporting, including the eligibility requirements emerging from European regulations. The project is a solid foundation for continued development, new investments and future commercialization.

Approach and implementation

The project has been implemented using a harvester as a technical platform where images of log ends have been collected and analyzed using Tracy´s proprietary technology. The results have exceeded initial expectations. A working prototype has been demonstrated to customers/stakeholders, showing that the technology has potential to identify quality characteristics early in the process. The project has also generated important lessons about technical components that should be further developed.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 31 July 2026

Reference number 2024-02459