AI-Powered Vision System for Quality Control and Production Process Verification

COMPANY: Manufacturing company in the FMCG / Industrial Manufacturing sector
INDUSTRY: Industrial Automation | Machine Vision | Artificial Intelligence | Quality Control

Quality control and product verification were previously performed through manual inspection, increasing the risk of defects going unnoticed, assembly errors, and product mix-ups on the production line.

As production throughput increased, traditional inspection methods no longer provided the required level of consistency and reliability. The customer was looking for a solution capable of automatically identifying products and performing real-time quality inspection without affecting production line performance.

The objective of the project was to implement an intelligent machine vision system capable of identifying products, verifying production processes in real time, and detecting non-conformities before products left the production line.

A key requirement was the use of Artificial Intelligence to classify products, identify different product variants, and enable simple adaptation of the system to future product portfolio changes.

As part of the project, the MJ Group team was responsible for the complete implementation of the machine vision system, including:

Selection and configuration of SICK Inspector83x vision cameras

Design and preparation of vision inspection stations

Acquisition and annotation of reference images used for AI model training

Configuration of AI Classification, Object Detection, and Intelligent Inspection functions

Integration of the vision system with the production line

Implementation of carton orientation inspection

Implementation of product quantity verification inside packaging

Configuration of colour recognition and product variant identification at the product mixing station

Participation in commissioning, functional testing, and system optimization

The project was based on SICK Inspector83x smart vision cameras utilizing Artificial Intelligence to automate quality inspection and product identification.

The solution was built around three core AI functionalities.

AI Classification

The system automatically classified products and identified their variants, enabling:

Identification of different product types

Classification of products as OK or NOK

Verification of correct component selection

Detection of mixed product variants on the production line

Object Detection

The system localized objects in real time, enabling:

Product counting

Presence verification

Product position detection

Identification of missing components

Intelligent Inspection

The Intelligent Inspection function evaluated product quality by detecting:

Missing components

Incorrect product orientation

Quantity discrepancies

Colour deviations

Missing labels

Incorrect component positioning

Before system commissioning, a reference image dataset was prepared and individual product features were annotated. Based on this dataset, AI models were trained to automatically recognize products during production.

At one of the production stations, SICK Inspector83x cameras performed:

Presence verification

Product shape verification

Colour inspection

Surface defect detection

Detection of deformations and imperfections

Verification of correct product orientation

The implementation of the AI-powered vision system delivered:

Fully automated quality inspection

Significant reduction of operator errors

Faster detection of production non-conformities

Improved process repeatability

Higher final product quality

Real-time production quality monitoring

Easy expansion to support new product variants and additional AI models

The project demonstrated that a properly designed AI-powered machine vision system can significantly improve quality control while maintaining full production efficiency.

By integrating SICK Inspector83x vision cameras with the production line, the customer achieved automatic product identification, eliminated errors caused by mixed product variants, and increased the reliability of quality inspection. Thanks to the use of Artificial Intelligence, the solution remains flexible and can be easily expanded as production processes and product portfolios evolve.

Over 20 years of experience in industrial automation and system integration

End-to-end project delivery—from process analysis and technology selection to commissioning and system optimization

Extensive experience in implementing AI-based machine vision systems

Seamless integration with existing production lines

Easy adaptation to new products and changing manufacturing processes

Ongoing technical support and post-implementation system development

Planning to implement a machine vision system or automate your quality control process?

Contact the experts at MJ Group and discover how AI-powered machine vision solutions can improve the reliability, quality, and efficiency of your manufacturing processes while supporting future production growth.