Analogic CNN Algorithms for Textile Quality Control Based on Optical and Tactile Sensory Inputs
نویسندگان
چکیده
An analogic CNN algorithm was developed and tested in order to detect failures such as blobs, bumps and disruption on textile in real time by using an experimental system with pressure sensory arrays Tactilus, a CCD camera and the cellular visual microprocessor development system, Aladdin Pro. The tactile sensory system is focused on the suspicious areas by the optical input. The places in question will be checked carefully by the above tactile sensory system working with an analogic algorithm. Fiber breaks and knots are the typical errors to be detected.
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