A leading manufacturing company with a leading position in its market faced an operational challenge related to the fixed costs and risks associated with quality control of its products.
The critical issue lay in the process of manual verification of labels, which by law must be applied to each finished product. Each model, depending on the configuration and specifications required by the customer, needed a unique set of compliance labels. This made inspection a complex, time-consuming activity with a high potential for human error.
The company was incurring significant costs for qualified personnel dedicated to this task, with the added burden of having to train them constantly on the ever-changing regulations.
To overcome this challenge, an artificial intelligence and computer vision solution was designed and implemented to fully automate the verification process.
The architecture of the solution includes:
The system ensures regulatory compliance before the product is packaged and shipped. In case of non-compliance, the product is automatically stopped on the line for correction.
The adoption of this technology has enabled the company to transform a critical and costly process into a true competitive advantage. Thanks to the total automation of the verification process, the company has achieved the complete elimination of costs associated with personnel previously dedicated to manual inspection, ensuring an immediate return on investment (ROI).
In addition, the new system ensures 100% compliance control of products, effectively nullifying the risk of human error and drastically reducing exposure to regulatory non-compliance and possible penalties.
"Label control automation generated immediate savings in personnel costs while ensuring seamless regulatory compliance. The well-integrated technology from Huware allowed us to turn a fixed cost into a competitive advantage."
Alessio Panella
AI Strategic Lead & Enterprise Architect, Huware