Cama Group embraces Industry 5.0 principles to enhance secondary-packaging machine efficiency through innovative technological solutions.
Industry 5.0: A new manufacturing paradigm
Industry 5.0 represents a fundamental shift in manufacturing philosophy, placing human wellbeing at the centre of production processes whilst fostering enhanced collaboration between workers and machines. This paradigm emphasises sustainability, resilience, and human-centricity in industrial operations. Cama Group, a leading manufacturer of secondary-packaging machines, has embraced these principles through its comprehensive machine enhancement programme. The company’s approach demonstrates how advanced technologies can be seamlessly integrated to optimise machine performance whilst maintaining human oversight and control.
Artificial intelligence
The integration of artificial intelligence and generative AI (GenAI) has fundamentally transformed Cama Group’s approach to software development and technical documentation. By delegating routine code-writing tasks to AI systems, the company’s developers can focus on strategic, value-added activities that require human creativity and problem-solving capabilities. GenAI technology has proven particularly effective in producing technical documentation, including manuals, risk analyses, and declarations of conformity. This application leverages Cama’s extensive library of technical documentation, enabling faster creation of standardised materials whilst reducing errors and improving consistency across all documentation.
Data-driven machine optimisation
Cama Group has developed sophisticated algorithms that analyse machine performance in relation to environmental variables such as temperature and humidity. This data-driven approach enables predictive maintenance and optimisation strategies that significantly improve operational efficiency.
Temperature variations directly impact machine component wear rates, whilst humidity levels affect material machinability and packaging quality. These factors fluctuate seasonally and geographically, making environmental data analysis crucial for maintaining consistent performance standards across different operating conditions.
Simplifying complex operations
The company’s augmented reality system represents a significant advancement in machine operation and maintenance procedures. Operators can access digital environments through QR code scanning, providing instant access to step-by-step procedures, 3D animations, dedicated checklists, and specific documentation. This technology effectively replaces traditional operating manuals, streamlining machine operation and significantly reducing training requirements for new operators. The system is particularly valuable in environments with high staff turnover, as it eliminates the need for extensive retraining on machine settings and procedures.
Automated format changeover systems
One of the most significant productivity improvements achieved through Industry 5.0 implementation is the development of fully automated format changeover systems. These systems dramatically simplify machine setup processes, requiring only a single button press to adjust machine configurations for different product formats. The automated systems reduce changeover times by at least 50% compared to manual operations, significantly improving overall equipment effectiveness and production flexibility. This improvement is particularly beneficial for manufacturers operating in fast-changing market environments where quick format changes are essential for competitiveness.
Future innovations and industry showcase
Cama Group continues to advance its technological capabilities with the development of automatic carton-loading systems, which were previewed at Ipack-IMA in May 2025. These systems incorporate lessons learned from extensive machine data analysis, further enhancing productivity and reducing manual intervention requirements. The company plans to showcase its complete range of Industry 5.0 technologies at Interpack 2026 in Düsseldorf, Germany, demonstrating the practical applications of AI, augmented reality, and automated systems in real-world packaging operations.
