Automated Visual Quality Inspection in the Consumer Goods Industry

Maddox AI optimises and automates a variety of visual quality inspections in the consumer goods industry.

The consumer goods industry comprises a wide variety of products, all of which go through complex production processes that require the highest precision to meet quality standards. The challenge is often not only to inspect visual quality features such as scratches or irregularities in the surface, but also to ensure that the goods are assembled correctly and that the labelling and printing of the products is error-free.

Areas of Application for Maddox AI in the Consumer Goods Industry

The consumer goods industry is characterised by a wide range of products, most of which are produced in large quantities. The high variance and the large number of products place special demands on visual quality inspection.

These requirements can be met by optimising and automating visual quality inspection with Maddox AI. With Maddox AI, a large number of product variants can be precisely inspected and analysed in a wide variety of applications. The areas of application range from surface defects such as scratches and dents to the inspection of positioning errors and correct labelling to the reading of embossing and QR codes.

With every automation project, Maddox AI also drives digitisation. Data collected during automated visual inspection, including images and metadata, is automatically processed in Maddox AI Cloud software and made available for comprehensive analytics such as defect Pareto analysis, defect heatmaps and dashboards. You receive proactive messages from Maddox AI (e.g. via email or SMS) when too much scrap is generated. In this way, you ensure that excessive scrap levels do not occur over extended periods of time.

Maddox AI Offers Inspection Solutions for Various Use Cases, Including:

Correct assembly of goods: Automatically verify the correct assembly of products in packages.
Accurate labelling and printing: Analysis of labels and printing for accuracy and clarity. Faulty labels or difficult-to-read prints are detected immediately to ensure flawless product presentation.
Checking engravings and embossings: Verification of engravings or embossing on product or packaging surfaces.
Identification of packaging defects: Detection of deviations in the packaging, such as damaged or incorrectly sealed packaging.
Analysis of product surfaces: Checking the surfaces of consumer products for scratches, dents or other defects. This ensures that products are delivered to customers in perfect condition.

Detection of deformations: Identification of deformations or distortions that may occur during the manufacturing process.
Detection of inclusions and foreign bodies: Identification of inclusions, foreign bodies or irregularities that could affect the appearance or structure of the products.
Detection of irregularities and defects: To increase overall part quality and minimise scrap, even when production batches have slightly different visual characteristics.
Bar and QR code reading: Recognition of codes for accurate identification and verification of parts and products.
Traceability of products: Complete traceability of products from manufacturing to the end user to ensure safety and quality throughout the supply chain.

Case Study in the Consumer Goods Industry