This advanced system leverages artificial intelligence and
multi-angle imaging for automated, high-precision quality control
in PET bottle manufacturing. Utilizing eight strategically
positioned cameras, it captures comprehensive views of each bottle
throughout the production line.
The integrated AI vision software meticulously analyzes images in
real-time to identify a wide range of potential defects. This
includes surface flaws (scratches, scuffs, stains, bubbles),
dimensional inaccuracies, shape deformations, sealing issues (cap
alignment, tamper evidence integrity), neck/cap defects, and
contamination. The multi-camera setup ensures complete inspection
coverage, minimizing blind spots.
Designed for high-speed production environments, the system
provides instantaneous pass/fail decisions, automatically rejecting
non-conforming bottles. Key benefits include significantly enhanced
detection accuracy over manual methods, substantial reduction in
escaped defects reaching customers, minimized production waste, and
consistent quality assurance. It offers detailed defect
classification data and production analytics for process
optimization.
This solution is tailored to meet the rigorous demands of beverage,
food, and pharmaceutical industries, ensuring only bottles meeting
strict quality standards proceed to filling and packaging. It
represents a robust, automated approach to maintaining brand
reputation and consumer safety.
