Blank Status Detection
Detection Items:
● Patch blank identification
● Reversed placement of the blank
● Wrong blank feeding detection
Hardware:
Each trolley is equipped with 1 unit of 2D camera + 1 set of lighting
Technologies:
Deep learning + Vision algorithms
Last Blank Detection
Detection Items:
Replaces the existing photoelectric sensors, automatically sends a signal once any stack has been de-stacked
Hardware:
None (reuses blank status detection hardware)
Technologies:
Deep learning classifier
Double Blank Detection
Application:
After production line stop and restart, the destacking system repeatedly places blanks, resulting in double / stacked feeding into the furnace
Hardware:
1 unit of 2D camera + 1 set of lighting
Technologies:
Deep learning classifier
Abnormal Handling：
Resume blank feeding after the previous blank has entered the furnace
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