Industrial Non-intrusive Coded-Target Identification and Decoding Application

摘要

Non-intrusive and automatic raw part alignment for machining process is a current challenge for industry, due to the high cost of bad machining. The use of artificial markers, such as coded-targets (CT) provides a promising technique to be applied within industrial environments due to its robustness, non-intrusive nature and low cost. In this paper, an CT identification and decoding algorithm is presented. CT are used for the geometry characterization of the raw part. Its promising results allow us to introduce their usage within a real industrial machine.