Solutions for aesthetic control
Ease of implementation thanks to a standardized approach and classification using Artificial Intelligence
Human sensitivity, machine rigor
Automation of aesthetic control
The appearance, texture and color
Appearance is an essential characteristic of a product for reasons of appearance or for its function.
QMT offers turnkey solutions for aesthetic inspection of manufactured products. These solutions integrate high-performance optics, mechanical integration, and advanced software.
All aesthetic criteria can be automatically controlled: detection of defects (scratches, impacts, burrs…), surface characterization (texture, uniformity…) and measurement of perceived color.
QMT solutions are simple to implement, scalable, and customizable. Implementation is based on support using a standardized methodology and machine learning via artificial intelligence.
Agility, reliability and pursuit of excellence
We contribute to our clients' development for lasting prosperity
Through vision, through hearing, through automated solutions integrating artificial intelligence, qmt limits the number of imperfections in what will or can be manufactured.
About qmt An experienced team
A team deployed across our two sites in Geneva and Chambéry
With our extensive know-how, we build a reliable partnership with our clients to develop solutions and support their success by improving quality and efficiency.
The qmt team Over 35 years of experience
We will never achieve perfection, but we work towards it every day.
qmt developed the Multimicro in 1991 (motorized image analyzer with automatic microhardness measurement), which was awarded a Credit Suisse prize. In 2015, qmt won the Geneva Canton Innovation Prize.
Historical
Colorimetric conformity
Measurement of perceived color and brightness
Perceived color measurement quantifies the hue, saturation, and brightness of a product to ensure a consistent visual appearance across products within the same series. It is essential in sectors where customer visual perception is a key quality criterion—for example, in watchmaking, luxury goods, cosmetics, automotive, or electronics. Even a slight color variation can compromise the aesthetic coherence of a product or reveal a process anomaly (formulation error, temperature variation, material aging, etc.).
Aspect control
Defect detection (scratches, dents, burrs, etc.)
Surface defects are physical or visual alterations that can compromise the appearance, quality, or even functionality of a product. They take various forms:
- Scratches caused by friction or machining, whether visible or microscopic
- Shocks or impacts related to handling or transport, which can alter the geometry of a part
- Burrs resulting from imperfect molding, drilling, or cutting
- Stains, dust or deposits that may originate from the manufacturing process or handling.
These defects, even minor ones, can alter the appearance and impair the functional performance of a product.
Surface conformity
Characterization of surface texture and uniformity
Surface characterization involves analyzing the visual and physical properties of a surface to ensure its regularity and perceived quality. It allows for the measurement of various surface parameters:
- Texture: visual roughness, grain, micro-structure, pattern regularity
- Uniformity: homogeneity of the surface, absence of matte or glossy areas
- Gloss and reflection: control of the mirror-like appearance, haze, or level of light diffusion
- Flatness and waviness: checking the regularity and stability of the surface to detect any deformation that could alter the visual appearance or disrupt the assembly.
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A standard approach
Ease of implementation and scalability
QMT offers a standardized approach for implementing aesthetic control solutions. This approach involves the client to ensure that the solution meets their needs.
qmt actions
- Project and process management including formalization
- Understanding the reference control
- Development of the acquisition solution
- Algorithm development
- Creation of the AI model
- Performance test
Customer actions
- Availability to allow QMT to understand the control
- Collection and qualification of the parts
- Qualification check after automatic evaluation (verification)
Customizable solutions to perfectly meet your needs
Standard products for dimensional control
Learning with artificial intelligence
QMT aesthetic control solutions can integrate learning with Artificial Intelligence to facilitate parameterization while ensuring that the automatic system gives identical results to operators: Human sensitivity, machine rigor.
Customized solutions developed based on customer specifications
Aesthetic inspections using linear cameras for the company Sonceboz
QMT has developed measurement stations for quality control of cast aluminum housings. The solution aims to inspect the machined surfaces of parts after washing. The three vision stations are integrated into a robotic cell that is part of the manufacturing process.
Station No. 1 consists of two linear cameras and three lights for porosity control, stations 2 and 3 have high-resolution surface cameras and four lights.
More informationDressing check
Customized solution
qmt assisted its client in implementing automated quality control for a woven component at the end of production. High-value and innovative products must undergo 100% inspection at the end of production to ensure they are free of aesthetic defects. The inspection device was developed in accordance with the ISO 1385 medical standard, including all validation phases, which were managed by qmt.
More information
Machined metal parts inspection stations
A machined metal part (24mm in diameter, 7mm thick) is integrated into a high-end product requiring impeccable and controlled aesthetic quality. This part is supplied by several vendors, and the need is to ensure identical aesthetic quality control regardless of the manufacturing origin.
To meet this demand, QMT has developed a dimensional and aesthetic control solution based on optical technologies; QMT has developed specific tools enabling the detection of defects even when the overall appearance of the parts may vary.
Details of the project