1. Smart imaging using laser targeting: a multiple barcodes application
- Author
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M. Junaid Amin and Nabeel A. Riza
- Subjects
Detection and tracking algorithms ,Computer science ,Iron ,Optical sensing ,Industrial inspection ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Target tracking ,Barcode ,Receivers ,law.invention ,law ,Pattern recognition ,Imaging systems ,Computer vision ,Depth of field ,Pixel ,Sensors ,business.industry ,Ranging ,Detector arrays ,Laser ,Transmitters ,Lens (optics) ,Pattern recognition (psychology) ,Artificial intelligence ,business - Abstract
To the best of our knowledge, proposed is a novel variable depth of field smart imager design using intelligent laser targeting for high productivity multiple barcodes reading applications. System smartness comes via the use of an Electronically Controlled Variable Focal-Length Lens (ECVFL) to provide an agile pixel (and/or pixel set) within the laser transmitter and optical imaging receiver. The ECVFL in the receiver gives a flexible depth of field that allows clear image capture over a range of barcode locations. Imaging of a 660 nm wavelength laser line illuminated 95-bit one dimensional barcode is experimentally demonstrated via the smart imager for barcode target distances ranging from 10 cm to 54 cm. The smart system captured barcode images are evaluated using a proposed barcode reading algorithm. Experimental results after computer-based post-processing show a nine-fold increase in barcode target distance variation range (i.e., range variation increased from 2.5 cm to 24.5 cm) when compared to a conventional fixed lens imager. Applications for the smart imager include industrial multiple product tracking, marking, and inspection systems.
- Published
- 2014
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