Mechanical Engineering Automation

Mechanical Engineering Industry

Mechanical engineering is an engineering discipline concerned with the development, design, production, and maintenance of machines and technical systems. It includes areas such as automation technology, plant engineering, robotics, and production planning. Mechanical engineering is a central component of the manufacturing industry and forms the basis for innovations in numerous economic sectors.

Vision AI has the potential to optimize numerous processes and activities in mechanical engineering. Here are concrete use cases and their respective benefits:

Customer Story with SECO and Xactools

Quality Control and Fault Detection

Product quality and preventive measures. Use image analysis AI to monitor manufacturing processes. All components can be checked for dimensional accuracy, cracks, or contaminations. Machine components themselves can also be reliably monitored for wear to prevent failures.

  • Increased product quality and compliance with quality standards.
  • Reduction of scrap.
  • Prevention of unplanned failures and reduction of maintenance costs.
Quality Control Indexable Inserts
Automated Production Monitoring

Automated Assembly and Production Monitoring

Real-time monitoring of production lines. Increase your production speed through robot support: precise positioning of components (e.g., for pick-and-place) or flexible adaptation of the AI to different tasks, components, or machines. Additionally, components can be reliably identified and tracked using Vision AI.

  • More efficient assembly and reduction of manual interventions.
  • Minimization of production costs through resource savings.
  • Optimization of supply chains and storage capacities.

DENK Facts

What DENKweit Offers You

DENKnets: Proprietary unique AI technologies that detect everything.

Use without AI experts

The intuitive no-code platform DENK VISION AI Hub enables AI training that anyone can perform.

No preparation necessary

No adjustments to your images or on-site conditions are needed for AI deployment.

Stable AI that detects everything

DENKnets were developed for production environments and changing conditions and detect everything a human can see.

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