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Machine vision and real-world realities

Bouteille PET-PEHD

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23 April 2026

In the food and beverage industry, certain applications require rigorous quality control. The PET-HDPE bottle is one such example. Behind this common packaging format lie numerous critical points that require increasingly precise inspection systems.

Caps, sleeves, fill levels, labeling… each step requires a specific check. As production speeds increase, the ability to detect defects sometimes smaller than a millimeter becomes a key challenge for manufacturers.

This type of environment highlights an often less visible aspect of the machine vision industry: constant adaptation. Beyond the technologies used, everything depends on how the systems are integrated into production lines, taking into account constraints related to speed, formats, and reliability.

Through this type of application, Psycle’s full expertise comes to the fore, in an approach centered on a detailed understanding of industrial needs

Take your machine vision projects in production to the next level with the Psycle SDK: a comprehensive, flexible Python framework designed for deep learning.