Manufacturing 4.0 – Quality Control Excellence with Computer Vision

From human vision to computer vision

Product quality is at the heart of every manufacturing process. Traditionally, most quality control activities were performed by humans. But it is difficult for humans to identify defects by continuously looking at products through a conveyor, it is expensive, and sometimes dangerous. With the development of new technologies, including AI, most manufacturing processes are replacing or complementing human vision with computer vision to make quality control decisions, and it is now possible to control almost everything.

Manufacturing 4.0 - Excellence du contrôle qualité grâce à la Computer Vision

Manufacturing 4.0: Convergence of the virtual and real worlds

Thanks to this convergence of the virtual world with the products and objects of the real world, we are witnessing a transition to a new way of organizing the means of production called « industry 4.0 ». The great promises of this fourth industrial revolution are to offer unique and personalized products, and despite low manufacturing volumes, to maintain gains. By exploiting artificial intelligence in the enterprise, manufacturers can reduce the probability of errors and significantly improve many aspects of quality control.


Quality control in high value-added industries


In high value-added industries such as aerospace, automotive, or construction, excellent quality control is all the more essential as defects in parts or components can literally be fatal. At the same time, these industries are under pressure to bring their products to market faster if they are to remain competitive and meet their customers’ production deadlines. The key challenge is to recognize the early signs of potential production failures as quickly as possible in order to save resources and maintain operational efficiency. While manual tracking of potential defects is inefficient and error-prone, Computer Vision is extremely effective in responding to competitive time pressures while ensuring that parts and components are defect-free. For example, in automotive assembly, Computer Vision can check that trim colors match a vehicle’s assembly order, and if an error is detected, it can be corrected before proceeding to the next stage of assembly.

La CV à chaque étape de la chaîne de production


In high value-added industries such as aerospace, automotive, or construction, excellent quality control is all the more essential as defects in parts or components can literally be fatal. At the same time, these industries are under pressure to bring their products to market faster if they are to remain competitive and meet their customers’ production deadlines. The key challenge is to recognize the early signs of potential production failures as quickly as possible in order to save resources and maintain operational efficiency. While manual tracking of potential defects is inefficient and error-prone, Computer Vision is extremely effective in responding to competitive time pressures while ensuring that parts and components are defect-free. For example, in automotive assembly, Computer Vision can check that trim colors match a vehicle’s assembly order, and if an error is detected, it can be corrected before proceeding to the next stage of assembly.


Workers increased

While Computer Vision automates quality control tasks, it also serves to support the work of technicians to make them more efficient, accurate and effective. It is a Poka-Yoke, a system that can prevent, correct or draw attention to human errors when they occur in order to ensure better quality in production and achieve « zero defects ». Thanks to the digitalization of all the control points on the production lines, Computer Vision is both a point of control and support for the technicians, who become real augmented workers, helped by a reliable and automatic validation of the conformity of the produced elements in compliance with the standards established by the specifications.

Adopting Computer Vision means integrating the power of AI into real-world processes and taking human-machine interaction to the next level. This cutting-edge technology allows you to carry out infallible quality controls by digitizing all checkpoints and increasing the number of workers at each stage of the production chain. The result is increased productivity thanks to high-speed processing capacity and 24/7 continuous operation, applicability in difficult or hazardous conditions, and reduced labour costs.

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