TNO, the Netherlands Organisation for Applied Scientific Research, is a leading independent research institute that bridges the gap between science and industry by translating advanced research into practical, scalable solutions, with a strong focus on Industry 4.0 technologies such as smart manufacturing, digitalisation, AI-driven production systems and connected factories, helping companies and governments accelerate innovation, improve competitiveness and bring validated, future-ready technologies to market.
Electronics repair teams face increasing complexity every year. New device models are introduced continuously, and repair procedures vary depending on the fault and the specific product variant.
Variant-Specific Repair Instructions Powered by AR & Verification
Together, TNO and Ansomat created a repair workflow that automatically loads the correct instructions for each device and guides the technician through fault-dependent steps—while verifying completion along the way.
Variant-aware, skill-based guidance for any technician.
Scan Barcode to Load the Right Variant and Workflow
A barcode scan identifies the correct device variant and immediately triggers the appropriate repair flow.
Analyse the Pack and Display Corrective Actions
The system supports diagnosis by identifying issues and showing the relevant corrective actions for that specific fault.
Projector-Guided Picking from the Correct Bin
Technicians are guided visually to select the right items from the correct bin using projector-based instructions—reducing mix-ups and wasted time.
Vision Confirmation of Completed Actions
A vision system confirms key steps have been completed, reducing the risk of skipped actions.
Cross-Station Data Checks to Catch Incomplete Work
Repair data is carried forward from previous stations to detect unfinished or incorrectly completed steps before the pack moves on.
Label Printing for End-to-End Tracking
A correct, traceable label is printed with identifying information so each repaired pack can be tracked through the process.
By introducing variant-aware repair guidance and verification, TNO and Ansomat reduced complexity on the shop floor and made repair outcomes more predictable. Technicians could ramp up faster, and the system helped prevent common errors before they became costly rework or returns.
When repair steps change based on both device variant and fault type, traditional documentation breaks down. Digital, variant-specific work instructions ensure the right process is followed every time, regardless of technician experience, while building traceability into the workflow.
See how Ansomat’s AR-guided, verification-based workflows can transform complex repair operations.