Measurable value: Accelerated QA processes and less scrap
Use AI-powered quality control to accelerate inspection processes and measurably improve quality across plants.
- Significantly less rework: Noticeably reduce rework and scrap rates and increase the proportion of direct runners on the line.
- Less manual inspection effort: Reduce the workload on skilled production staff through automated image inspection.
- Higher defect detection rate: Increase the detection rate for critical defects—even on complex surfaces and in changing environments.
- Faster QA processes: Benefit from accelerated inspection cycles through cloud-based training and inference without compromising line throughput.
- Scalable rollout: Standardize your ICV solution and roll out new use cases to additional plants in days, not months.
Solution: Modular computer vision platform on STACKIT
Rely on a modular platform that automatically analyzes image data along your production lines and supports quality decisions in real time. Use AI models that reliably detect labels, components, and surface defects and quickly adapt to new products and variants. Continuously improve your models—for example, using synthetic data—without long wait times for large datasets from the production line. Integrate the solution directly into your existing production and quality environment and use a mobile app for flexible inspections.
Competitive Advantage: Scale Quality—Globally and Confidently
Position yourself as a pioneer in your industry with end-to-end digital quality control.
Standardized QA worldwide
Harmonize inspection rules, models, and KPIs across all plants and ensure a consistent level of quality.
360° Product and Equipment Health
Combine computer vision with acoustic signals and bolting data for a comprehensive view of product and equipment condition.
Smart Factory Enabler
Support your smart factory strategy with AI-powered quality control, robot simulation, and digital twins.
Rapid Innovation
Test and industrialize new use cases without long lead times thanks to a modular platform and cloud resources.
Robust data foundation
Keep quality data, models, and operational data in a European cloud under your control and meet strict compliance requirements.
Foundation: Edge and Cloud Architecture for Industrial Computer Vision
Build your quality control on a robust, industry-ready architecture that securely connects image data from production with cloud-based AI analytics.
Plant Integration
Integrate cameras, sensors, and line controllers directly into your Digital Production Platform (DPP) and capture image and sensor data along the production line.
Scalable cloud resources
Use compute and storage capacities on STACKIT for training and the secure storage of large image and sensor datasets.
Edge and Cloud Architecture
Perform inference close to the edge and centralize training and optimization processes in the cloud.
Cross-Plant Scaling
Roll out standardized services across multiple plants and flexibly adapt models to site-specific production conditions.
Frequently Asked Questions (FAQ)
What are the prerequisites for getting started?
You need standardized camera and lighting setups at the relevant stations, as well as a network connection between the systems and the central platform. Ideally, quality data and defect images are already available to train initial models more quickly
How does the solution integrate into existing systems?
The platform integrates via interfaces with your Digital Production Platform and connects to existing MES, QA, and ERP systems. Events, inspection results, and key metrics are embedded into your existing workflows without replacing core systems.
When will the first benefits become apparent?
You will typically see initial effects on the defect detection rate and the reduction in manual inspections after the rollout of the first use cases at selected stations. As the models mature and scale across additional production lines and plants, savings in scrap and rework increase significantly.