This automated vision inspection system utilizes seven
high-resolution cameras and artificial intelligence to perform
comprehensive quality control on plastic bottle preforms in
manufacturing environments. Strategically positioned cameras
capture complete 360-degree coverage of each preform, enabling
simultaneous inspection of all critical surfaces and dimensions at
high production line speeds.
The integrated AI vision software analyzes images in real-time to
detect a wide spectrum of potential defects with high accuracy and
repeatability. This includes identifying flaws such as short shots,
particulate contamination, gate vestiges, ovality deviations,
dimensional inaccuracies, surface scratches, haze, and
deformations. Machine learning algorithms continuously refine
detection capabilities, adapting to natural process variations and
minimizing false rejects.
Engineered for seamless integration into blow molding or preform
production lines, the system ensures only conforming preforms
advance downstream. The seven-camera configuration provides
thorough inspection of critical features including neck finish
integrity, thread geometry, body diameter, overall length, and wall
thickness consistency. Operators access an intuitive interface
displaying real-time defect classification, statistical process
control (SPC) metrics, and clear pass/fail results for immediate
corrective actions. This solution significantly reduces material
waste, lowers production costs by catching defects early, prevents
faulty preforms from reaching filling operations, and ensures
consistent output quality essential for final container
performance.
