Application
Defect detection on plastic packaging by AI
100%
of automated quality control
20%
reduction of the number of contaminated drums (20% of total production)
Client presentation
French industrial company specialized in the formulation and packaging of plant protection products. On its production site, there are numerous packaging lines and formats (plastic cans). The teams at the production site are in search of innovation and aim to optimize processes on a daily basis.
Quality at the center of concerns.
Despite a high degree of automation for large series in liquid productions, visual control during the packaging of cans remains manual and is performed by line operators at our client's site.
The low visibility of product spillages on containers makes defects difficult to identify within the time allocated for this task. Anomalies located on the perimeter mean that single-camera systems are insufficient for these inspections.
Given the substantial production volumes, even the slightest mistake has a significant impact if not detected quickly. Operator fatigue resulting from the visual inspections that must be conducted alongside other line operating tasks can lead to the shipment of contaminated cans, sometimes affecting 20% of the production.
Quality controls are expensive, and the cleaning procedure is drastic in the event of contamination, making it necessary to find a robust solution for monitoring these products and for optimizing filling parameters.
The client's objectives
Relieve visual inspection operators so they can focus on other line management tasks.
Move from manual quality control to 100% automated control
Inspect all sides of the containers to avoid contamination
Reduce the number of procedures initiated due to cleaning of containers in case of pollution
Adopt a flexible quality control system that adapts to various types of containers.
Reduce the quality issues impacting the customer
The solution: Spark Multi View
To achieve these goals, Scortex has implemented its AI-powered automated quality inspection solution, Spark Multi View, equipped with multiple cameras, and has enabled:
Automation of quality inspection on production lines
Reduction of operator workload
Inspection of cans from multiple viewing angles simultaneously, thanks to the Spark Multi View system.
Inspection of a wide variety of containers thanks to Spark's rapid adaptability of AI
The Results
100% of automated quality control
Demonstration of our client's culture of innovation during visits from their customers.
Reduced workload for operators so they can focus on other high value-added tasks at the production site.
Reduction in the number of contaminated containers (20% of total production)
Inspection of all sides of the containers in a single pass on the conveyor
Rapid decision-making on quality according to the quality specifications indicated by the client (OK / NOK)
Securing risks of external container pollution
Rhythm: 1 second / piece
Changing containers without significant downtime thanks to Spark's continuous AI learning
"Spark is very easy to grasp. This is not the case with other quality control systems.”
Jérémy, Maintenance Manager
The visuals used on this web page are designed with AI to ensure the safety and privacy of our clients' manufacturing processes.
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 plastic packaging industry?
What measures are being taken to ensure the compatibility of our solution with the existing production lines of plastic packaging manufacturers, while minimizing downtimes and disruptions?
How does our solution ensure effective detection of defects on plastic packaging while ensuring continuous production flow and waste reduction?
How can our technology be adapted to meet the specific needs of plastic packaging manufacturers, such as detecting defects on complex shapes or particular textures?
What are the tangible operational benefits that plastic packaging manufacturers can expect from implementing our AI-powered automated inspection technology in their production process?
