Automate quality assurance in manufacturing with AI visual inspection

Industry challenge

EMS companies run portfolios of hundreds of products that change constantly, with new variants, new components and frequent changeovers. This makes conventional inspection systems expensive to implement and maintain. These systems also catch only the programmed defects: new defect types slip through, while false alarms send good product instances back for review.

Our solution

Our AI visual inspection solution supports quality assurance for multiple production processes including the THT process, coating, box-build and mechanical assembly. We help you implement a reliable automated inspection with a wide product coverage. Your team can add similar products and variants in minutes without retraining, and new product categories with only limited retraining. Inspections that need multiple images, such as THT and coating, run on standard industrial cameras, which keeps camera costs low.

Industry challenge

Quality issues in automotive components and e.g. car parts can affect safety, warranty costs, and production efficiency. Manual inspection is often slow and inconsistent, while traditional automation systems can struggle to adapt to variations across parts and processes.

Our solution

The AI-based visual inspection automates welding seam quality control covering hundreds of welding seam types and multiple different welding technologies. The solution provides full traceability and comprehensive quality records, and scales well to new factory sites.

Industry challenge

Manufacturing companies ship a constantly shifting mix of products, and a mislabeled or misprinted package reaches a customer when a manual check misses a variant swap or a print defect. Incoming parts need the same scrutiny before they reach the line.

Our solution

Tekai’s automated product label check validates the correctness and readability of product labels on incoming parts and completed packages. The solution is flexible and cost-efficient to implement and scales well across production lines, process and factory sites.

Industry challenge

Metal parts and fabrication lines run high product mix across multiple process stages, and defects such as scratches, bumps, and dimensional and hole-location errors are still caught by manual inspection or spot checks that don’t scale with variety.

Our solution

Modular and easy-to-implement visual inspection, measuring, and counting solution configured around your products, process and defect types. Wide product coverage after implementation and your team can add new products to the solution. Standard cameras keep the implementation and scaling costs low.

Industry challenge

Moulded plastic parts carry defects such as flash, short shots, warping and surface blemishes that vary by mould, cavity and material batch, and are still largely caught by manual checks or spot sampling that don’t scale with product mix.

Our solution

Modular and easy-to-implement visual inspection, measuring, and counting solution configured around your products, process and defect types. Wide product coverage after implementation and your team can add new products to the solution. Standard cameras keep the implementation and scaling costs low.

Industry challenge

Wood is a natural raw material that never behaves the same way twice. Its properties vary with species, region, age and the season it was harvested. The same raw material becomes a wide range of products, each requiring different parts and qualities, and the many production stages in between are often run without consistent data to guide decisions.

Our solution

We combine computer-vision analysis of wood features and qualities with time-series AI that learns from your production data. Together they help you match raw material to the right products and optimize production and quality at each stage. The solution is data-driven, reliable and configured around your process, and it scales across lines and sites.

Industry challenge

Recycling operations handle varying and often unknown materials in demanding conditions. Identifying what a material is, how much of it there is, and whether it is hazardous or high-value is still largely done by hand. The value at stake is significant, but few reliable automated solutions exist.

Our solution

Our computer-vision solution analyzes materials against your own evaluation criteria, such as material type, quantity, hazardous items and high-value content. It is built to perform reliably in demanding conditions, and standard cameras and hardware keep it cost-efficient to scale across lines and sites.