The Glass Disc Machine for O Rings Inspection is a specialized automated system designed specifically for inspecting O-rings. It combines advanced optical inspection technology with precision automation to ensure accurate and reliable quality.
This machine is equipped with advanced features to detect and identify various defects
and
imperfections
on the surface of O-rings. It can effectively detect and inspect defects such as
scratches,
dents,
damages, burrs, cracks, cut marks, thread damage, color variations, texture anomalies,
and
surface
deformities. The machine utilizes high-precision optical sensors and sophisticated
algorithms to
ensure
precise and reliable defect detection.
In addition to surface defect checking, the machine also performs dimensional inspection
for
O
Rings, X
Rings & Square Rings. It can measure critical parameters such as inner diameter,
outer
diameter,
angle and height to ensure accurate dimensional accuracy and consistency.
The Glass Disc Machine for O Rings Inspection is designed to handle high-speed
inspection
requirements,
with a capacity of up to 500 parts per minute. This enables efficient and rapid
inspection
of
large
volumes parts, optimizing production throughput and meeting demanding manufacturing
schedules.
The machine supports both manual and automated loading systems, providing flexibility to
adapt
to
different production environments. It incorporates quantity-wise separate OK ejections,
allowing
for
efficient sorting and segregation of acceptable parts from defective ones.
By utilizing the Glass Disc Machine for O Rings Inspection, manufacturers can ensure the
delivery of
good/ok parts. It helps minimize the risk of product failures, enhances customer
satisfaction,
and
improves overall productivity and efficiency in the manufacturing process.
Surface Defects
colour detection, scratch detection, dent, flash, burr, cut marks, flow mark, damage, short mould, crack, texture verification, surface deformities detection, foreign material
Other
Operation missing, absence/presence verification, OCR-OCV
Dimensions