Packaging

Packaging Industry

The packaging industry plays a central role in the value chain by transforming materials such as paper, plastic, glass, and metal into packaging that protects, stores, and transports products while extending their shelf life. Additionally, the packaging industry contributes to branding by designing visual and functional elements that enhance the consumer experience. It serves numerous sectors such as food, beverages, pharmaceuticals, cosmetics, and electronics and is strongly influenced by innovations in areas like sustainability and recycling. The use of AI-based image analysis in production can improve quality and efficiency. Vision AI enables automated inspection of packaging in real-time, quickly detecting and correcting printing errors, deformations, leaks, or missing components. This reduces waste and rework, ensuring higher customer satisfaction.

Furthermore, Vision AI supports compliance with safety and quality standards by ensuring that all packaging meets the required specifications, which is particularly essential for (sterile) medical devices. The use of AI image analysis enables cost-efficient and reliable production.

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Leak Testing

To prevent the ingress of air, moisture, or contamination, packaging should be properly sealed. Using AI image analysis, precise and continuous inspections can ensure the highest standards. Depending on the requirements, weld seams and seals can be checked, or defects, deformations, and color changes can be detected. DENKnet can be trained to identify any surface anomaly that indicates a leak, no matter how small. This allows for automated testing of leak indicators.

  • Ensuring high product quality.
  • No delays in manufacturing.
  • Reduction of waste and material loss.

Label Inspection

By utilizing advanced image processing technologies, errors such as incorrect labels, blurriness, or color deviations are quickly and accurately detected. This ensures that every product is labeled correctly and with high quality. Vision AI helps to maintain quality standards, minimize human errors, and significantly increase efficiency in the production line. Recalls or rework due to damaged, missing, or incorrect labels on packaging are avoided.

  • Reliable inspection of market-compliant labeling.
  • Reduced downtime.
  • Minimization of recall risks and cost savings.

Object Counting

Inspecting and counting objects before packaging using AI image analysis is an efficient method to ensure that the correct number of products or components is included in a packaging unit. This is particularly important in the food, pharmaceutical, electronics, and consumer goods industries to avoid packaging errors and high additional costs. In real-time, objects (individual pieces or packaging units) can be identified and counted. Inspections can be performed either before or during the packaging process, depending on the need. Waste and high costs due to overpacking can be minimized, and customer satisfaction can be increased.

  • Reduction of counting errors.
  • Increased speed.
  • Direct integration into the production line through real-time monitoring.
  • Prevention of overfilling, underfilling, and complaints.

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 preparations needed

No adjustments to your images or on-site conditions are necessary 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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