Application
Spark reduces the number of false rejects on cosmetic packaging production lines by half
20%
Increase in productivity
100%
Critical defects detected
1.5%
Rejection rate maintained below this level
Client presentation
European leader in the manufacture of containers and packaging for cosmetics ranging from complex polymers to shiny plastic products. Our client mainly produces containers for lipsticks, perfumes, and powder compacts. Its production capacity can reach 300,000 pieces per day.
Quality at the center of concerns.
The variability of healthy products and the reflections caused by the shiny parts to be inspected lead to a very high rejection rate of products at the end of the production line. This rate reached 10%. For years, the customer tested various vision systems to automate its quality control and reduce its rejection rate, but it remained around 10%, resulting in a high cost of quality.
The client's objectives
Control of shiny and reflective parts
Cost reduction of quality
Elimination of all non-conforming products
The solution: Spark Multi View
To achieve these goals, Scortex has implemented its AI-powered automated quality inspection solution with Spark, and has enabled:
Automated inspection at speeds of up to 3 pieces per second
High-performance inspection using AI and control of shiny parts such as shiny powder cases and lipsticks with reflections.
Easy development of inspection programs for different references
The Results
Rejection rate kept below 1.5%
Identification of 100% critical defects
20% increase in productivity
Transition to 100% automated production line
Improved quality decision making through collected data
Simplification of inspection procedures and reduction of operational costs
"It is not necessary to recheck the products at the end of the line, as we can eject the defective products at the source as soon as they are detected. The parts that arrive for packaging are all of good quality, we can feel the difference"
Jacques, quality manager
Frequent questions
How can our AI-powered automated inspection technology be effectively integrated into our existing packaging lines to optimize our production processes for foundations, makeup, and cream jars?
What are the typical lead times for implementing and training our technology on your production lines?
How can our technology help reduce production cycle times and increase our yield on cosmetic product packaging lines?
What maintenance and support services do we offer to ensure optimal long-term operation of our technology?
What are the possibilities for adapting our technology to meet your specific quality control and risk management needs related to the production of cosmetic products?
