Industrial Quality assurance with AI - The future of manufacturing
Quality management as a decisive success factor
Quality assurance (QA) carries out comprehensive measures aimed at achieving this, Defects in products and processes proactively and to avoid the Compliance legal and industry-specific Quality standards to ensure that The implementation of quality objectives through their Planning, documentation, monitoring and optimization along the entire value chain should ensure this. Supplemented by legal standards and norms from the Quality management (ISO 9001), quality assurance forms the decisive foundation for faultless products in your company. Manufacturingsustainable Competitiveness and maximum Customer satisfaction.
With 36ZERO Vision this approach is being fundamentally expanded. Through the use of state-of-the-art Deep learning technology the visual Quality control is not only automated, but also becomes more intelligent and precise in its execution. While conventional systems often interpret every deviation as a defect, the AI-based solution from 36ZERO Vision recognizes the defect. Difference between genuine error patterns and harmless deviations. This eliminates so-called pseudo-errors, which makes the Efficiency of the review significantly. The AI analyzes production images in real time, clearly classifies identified error types and thus enables targeted control of subsequent production steps. Processes in production. This not only supports the continuous improvement of the production processes, but also helps to Compliance of defined quality characteristics reliably ensure. Another advantage is its flexibility: thanks to the no-code self-service platform, users can train the AI independently. The system can be adapted to new requirements with just a few sample images. Products, Variants or changing series. The models run independently on-premiseare hardware-independent and fit seamlessly into existing Quality management-methods. In this way, 36ZERO Vision creates a new form of Quality assurance - precise, efficient and future-proof. Companies benefit from fewer rejects, more stable Processes and one continuous Improving the quality standards that the Compliance of all relevant standards.
Boundaries of conventional quality assurance methods in your production
Traditional inspections detect anomalies based on machine learning and statistics, but cannot classify errors.
As a result, these technologies cause Pseudo errorrejects, unnecessary inspections and production delays.
Time-consuming manual (re-)checks drain resources and slow down processes.
Automated quality inspection in production as competitive advantage
With 36ZERO Vision, visual inspection of products becomes a decisive success factor:
1 // Best-in-class error detection: Data-centric, supervised AI model reliably classifies even complex error patterns and relieves employees.
2 // No-code self-service: No programming or AI knowledge required.
3 // Hardware-agnostic & scalable: Flexible use in new and existing infrastructure (greenfield & retrofit).
4 // Fast & efficient: Typically only 5-25 training images and 2 hours effort for a productive model, analysis speed 20 ms. or faster.
5 // Eliminate pseudo errors: Faultless products to reduce material and production costs and ensure efficient use of resources.
6 // Transparency instead of a black box: Full access to the logic, customizable at any time at no additional cost.
7 // Standardized interfaces: Smooth integration with renowned, world-leading partners.
8 // Process added value: Fault pattern recognition provides valuable insights for the continuous improvement of product quality and production processes.
