Application

Spark helps to detect 100% of chips on glass containers in the luxury industry

100%

of the chipping detected

10,000

bottles inspected per hour. Client's pace maintained.

100%

adaptability of Spark to the different bottle formats to be inspected.

Client presentation

Main and historic actor of Cognac, this House has been able to combine tradition and modernity of the 4.0 industry in the production and bottling of its products. Always striving for excellence, the engineers and technicians of this great house have ambitious expectations and objectives, and a rigorous quality defaultery concerning their bottling lines and the container formats they adopt.

Quality at the center of concerns.

This large house bottles its Cognac in glass containers. In this context, the control of chips is a necessity for consumer safety.

With high production speeds and significant consumer safety constraints, the slightest decision error regarding the quality of the bottles has an impact. In parallel, the quality control systems based on industrial vision in place are aging and do not easily accommodate new container formats.

In some cases, the historical system throws away too many flawless bottles due to light reflections and acceptable imperfections on the glass, generating numerous line stoppages that are detrimental to the production of the required volumes.

The client's objectives

  • Detect 100% of chips at the rate 

  • Limit false rejections due to glass reflections or imperfections to 0.5%. 

  • Reduce line stops caused by detection errors (estimated at several dozen stops per day)

  • Reduce costs related to downtime as well as quality costs (false rejects)

Scoctex_Controle qualité_petites pièces
Scoctex_Controle qualité_petites pièces
Scoctex_Controle qualité_petites pièces

The solution: Spark Multi View

To achieve these goals, Scortex has implemented its automated quality inspection solution with AI, Spark, and has enabled: 

  • The implementation of inspections dedicated to quality specifications for detecting nicks, particularly on glass bottle necks. 

  • Quick adaptation of Spark to changes in the surface state of glass and thus potential false rejects

  • Flexibility for changes in references and shapes of glass containers thanks to the high-performance training of Spark's artificial intelligence

  • Reduction of false detections compared to the installed solution due to greater robustness to reflections. 

  • Premium access to the Customer Success team for the deployment of the Spark solution on-site and support for the use of quality data collected by Spark stations on production lines.  

  • Access to all data generated by Spark stations deployed on production lines via its Web Quality Center platform (real-time quality analyses, historical inspection reports, root cause analysis).

The Results

  • 100% of defects (chipped) detected

  • Respect of the client's pace of 10,000 bottles inspected per hour

  • 100% adaptability of the Spark quality control system to the different bottle formats to be inspected.  

  • Seamless integration of Spark into production lines and rapid deployment.

"The Spark solution detects all critical chip defects to the security of our products and limits the number of line stops for cleaning"

Yves, Production Director


The visuals used in this web page are created using AI to ensure the safety and confidentiality of our clients' manufacturing processes.

Industries

Innovation and precision for all industrial applications

Spark is ideal for a variety of industries such as cosmetics, packaging, automotive, and many others. It is capable of inspecting various materials such as metal, glass, and plastic, thus meeting a wide range of inspection needs.

Frequent questions

How does our AI-powered automated inspection technology take into account the specific constraints related to the materials and manufacturing processes used in the glass packaging industry?

Our technology is designed to adapt to the specificities of glassware, taking into account the different properties of glass, as well as surface finishes. We have developed specific inspection algorithms and parameters to detect potential defects while considering the characteristics specific to glass packaging production.

How does our solution ensure effective detection of defects in glass packaging while ensuring continuous production flow and waste reduction?

How can our technology be adapted to meet the specific needs of glass packaging manufacturers, such as detecting defects on complex shapes or unique textures?

What tangible operational benefits can glass packaging manufacturers expect from implementing our AI-powered automated inspection technology in their production process?

Let's discuss your quality today.

Scortex team is happy to answer your questions.

Let's discuss your quality today.

Scortex team is happy to answer your questions.

Logo Scortex
Logo Scortex