Artificial Intelligence has dynamically entered the field of materials! With QATM’s innovative QAI solution, provided by Applied Laboratory and Engineering Solutions – AppLES, hardness testing enters a new era of absolute precision, speed, and automation.

What is QAI?

QAI is an AI-based image evaluation platform specifically designed for the challenges of Vickers, Knoop and Brinell hardness testing methods.

Powered by the power of artificial intelligence:

• Fully automatically locates hardness measurement fingerprints
• Automatically detects all of the fingerprints of the hardness tester, even on difficult surfaces (low contrast, rough or scratched surfaces).
• Ensures repeatability and stability of results

The result? Less manual intervention, time savings and maximum reliability.

The advantages of QAI

The integration of QAI into QpixControl2 software replaces the classic image recognition algorithm and brings many benefits:

• Consistent results, without deviations
• Consistent, consistent results, no variations.
• Reduction of the need for manual checks
• Better repeatability and lower standard deviation
• Less time needed for preparation and evaluation

QAI offers particular added value on rough, sanded and etched surfaces, dramatically increasing the recognition rate even in difficult conditions.

Distinctions & Recognition

The QAI solution is not only innovative, but also internationally recognized.

In 2025, it won the prestigious award:

AI Breakthrough Award - Optical AI Solution of the Year

This award confirms QAI's leadership position as a benchmark in automatic hardness test footprint recognition and establishes it in the field of materials science and engineering.

Classical vs AI Recognition

Comparison across 90 hardness test points (HV1):

• Classic Evaluation: Range 24.90 | Std. Dev. 5.88

• QAI Evaluation: Range 16,40 | Std. Dev. 3,47

The difference is clear: QAI offers new levels of accuracy & stability.

100% Offline, 100% Secure

The security of your data is a priority:

• All data is stored locally on the computer
• No internet connection required
• AI training and certification is handled exclusively by QATM, ensuring full compliance with international standards

Frequently asked questions

• Do I need to recalibrate after upgrading with QAI? → No
• Can I do hardness test on etched/etched surfaces? → Yes, with very good results
• Is a different sample preparation required? → Not necessarily, but QAI detects better even on less "clean" surfaces
• Is internet needed? → No, everything is done offline

Do you want to try it?

Send us your own hardness indentation images and see how QAI can accurately identify them.

Contact us for demo and technical details.