Sno description
specifications:
model : optomech - label inspection system
speed : up to max 200 bottles per minute.
bottle size : height 200 mm max
: width or diameter 95 mm max
advanced machine vision software with the following features:
� shows the picture of the bottlelabel being inspected on screen.
� list�s the frequency of errors and displays on the screen.
� signals the ejection of the rejected bottles from the line.
� the operator can set the tolerances for each defect.
� the operator can save the parameters of each defect in a database and retrieve the same later.
� all measurement reports are stored in the database, to be recalled anytime.
� reports can be exported to excel.
hardware:
� data processor and control systems.
� touch screen user interface
� 2 machine vision cameras.
� machine vision lenses.
� lighting for the cameras.
� photo sensor for detecting the bottles.
� pneumatics for ejection of the rejected bottle.
� uninterrupted power supply for control systems.
� tower light.
� ejection verification sensor.
� pressure switch.
The machine detects the following defects:-
� unlabeled bottles.
� label upside down bottles.
� label shifting (vertical & horizontal )
� tilted label.
� wrong label.
� half cut label.
� double label.
� dog ear�s.
� 2d datamatrix code validation.

Sno description
specifications:
model : optomech - label inspection system
speed : up to max 200 bottles per minute.
bottle size : height 200 mm max
: width or diameter 95 mm max
advanced machine vision software with the following features:
� shows the picture of the bottlelabel being inspected on screen.
� list�s the frequency of errors and displays on the screen.
� signals the ejection of the rejected bottles from the line.
� the operator can set the tolerances for each defect.
� the operator can save the parameters of each defect in a database and retrieve the same later.
� all measurement reports are stored in the database, to be recalled anytime.
� reports can be exported to excel.
hardware:
� data processor and control systems.
� touch screen user interface
� 2 machine vision cameras.
� machine vision lenses.
� lighting for the cameras.
� photo sensor for detecting the bottles.
� pneumatics for ejection of the rejected bottle.
� uninterrupted power supply for control systems.
� tower light.
� ejection verification sensor.
� pressure switch.
The machine detects the following defects:-
� unlabeled bottles.
� label upside down bottles.
� label shifting (vertical & horizontal )
� tilted label.
� wrong label.
� half cut label.
� double label.
� dog ear�s.
� 2d datamatrix code validation.