This advanced automated quality control solution utilizes
integrated AI vision technology to meticulously inspect plastic
bottle preforms at high production speeds. Equipped with eight
precisely synchronized cameras capturing comprehensive 360-degree
views, the system examines every critical surface and dimensional
attribute of each preform passing through the inspection line.
The core AI-powered vision software analyzes images in real-time,
detecting a wide range of potential defects with exceptional
accuracy and consistency. This includes identifying flaws such as
short shots, black specs, contaminants, gate issues, ovality
deviations, dimensional inaccuracies, scratches, surface haze, and
deformities. Machine learning algorithms continuously enhance
detection capabilities, adapting to subtle variations and
minimizing false rejects.
Designed for seamless integration into high-speed blow molding or
preform manufacturing lines, the system ensures only conforming
preforms proceed downstream. Its multi-camera architecture
guarantees complete coverage and precise measurement of key
features like neck finish geometry, body diameter, length, and wall
thickness. Operators benefit from intuitive interfaces displaying
real-time defect data, statistical process control (SPC) charts,
and clear pass/fail results for immediate corrective action. This
system significantly reduces waste, lowers production costs,
prevents defective products from reaching filling lines, and
ensures consistent, high-quality preform output essential for final
bottle integrity.