Application
Spark divides by 3 the scrap rate of an automotive parts manufacturer
100%
Automated quality control on one line
100%
Defects presence / absence detected
1/3
Reject rate divided by 3
Client presentation
Tier 1 supplier of plastic parts and assemblies for the automotive industry, our client is a French company with several production sites in Europe. It is recognized for its expertise in plastic injection for high-stress applications in vehicles.
Quality at the center of concerns.
As in the majority of production companies in the automotive sector, quality inspection at our customer's site was mostly manual. The customer had a scrap rate ranging from 5% to 10% for detecting material shortages, presence/absence of components, as well as correct gasket placement. This led to more complex defects to be detected at the pace for line operators and hence customer claims for non-conformities.
The client's objectives
Switching from manual sampling quality control to 100% automated control
Reducing outgoing non-quality and customer claims
Maintaining autonomy in managing its industrializations
Inspecting at pace
The solution: Spark Multi View
To achieve these goals, Scortex has implemented its AI-powered automated quality inspection solution with Spark, and has enabled:
Automation of quality inspection on production lines
Flexibility for changes in references and produced series through Spark's high-performance AI training
Elimination of false detections through Spark's AI adaptability, taking into account user feedback
Implementation of an alert system for consecutive defect detection to stop production in case of drift
Access to all data generated by the Spark stations deployed on production lines via its Web Quality Center platform (real-time quality analysis, inspection report history, root cause analysis)
Including sequential review of categorized defective part images and temporal correlation with production tools used on the line
Defective tools were detected through process drift and the defects they induced
Their repair or replacement has reduced the scrap rate
The Results
100% of automated quality control on one line
100% of presence/absence defects detected
Use of quality data generated by Spark's Web Quality Center platform to reduce scrap rate by 3
Detection of all defects to reduce customer complaints and deliver a compliant finished product.
Integration of Spark into continuous improvement processes.
"We gained 5 points on the scrap rate thanks to Spark"
Ibrahim, Engineer continuous improvement
Frequent questions
How is our AI-powered automated inspection technology tailored to the specific requirements of machining metal parts for the automotive industry?
What are the features of our solution that enable the effective detection of defects in machined metal parts while maintaining optimal production times?
How does our solution ensure compliance with the strictest quality and safety standards in the automotive industry when inspecting machined metal parts?
How can our technology help reduce manufacturing costs and waste in the machining process of metal parts for the automotive industry?
What competitive advantages can automotive manufacturers expect from implementing our AI-driven automated inspection technology in their process of producing machined metal parts?
