For the requirement of identification and trace of steel billet in the procedure of manufacture and management, the ends of
steel billets are all printed a series of characters. So, each end of steel billet must be tracked and recognized automatically
before they are imported to furnace. Owing to the effect of the bad-imaging environment, there are a lot of difficulties in
recognizing characters at ends of steel billet. So, the real-time automatic recognition of characters at ends of steel billet is
different from the recognition of the license plates. For the former methods dissatisfied with practical demands, an
identification method using features of character structures is introduced by this paper, which greatly lowers error rate and
rejection rate effectively.
COG (chip on glass) bonding is widely used in LCD industry. The alignment of marks in COG bonding needs high
precision and reliability. It is of utmost importance to find two marks in COG fast and exactly. Its key technique is to use
the advanced optical system to get the two-marked positions of chip on the glass and to use the PLC procedure control
to complete the automatic alignment A series of experiments are performed to test the algorithms proposed, which show
that the fast alignment of marks in COG bonding based on multi-resolution is both rational and highly effective.