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Electronic Imaging Fundamentals: ID of COFFEE BAGS

Electronic Imaging Fundamentals: ID of COFFEE BAGS. Presented by Barry T. Fryer Dudley (MBA {IT}; MSc {Image Analysis}. SEPTEMBER 2008. “..any sufficiently advanced technology is indistinguishable from magic.” Arthur C. Clark.

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Electronic Imaging Fundamentals: ID of COFFEE BAGS

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  1. Electronic Imaging Fundamentals: ID of COFFEE BAGS Presented by Barry T. Fryer Dudley (MBA {IT}; MSc {Image Analysis} SEPTEMBER 2008 “..any sufficiently advanced technology is indistinguishable from magic.” Arthur C. Clark

  2. Background:To blend coffee the right beans in the correct quantity should be added. Selection and counting by human inspectors prone to short and long term variations. An automated coffee bag inspection system using a camera is proposed.

  3. Requirement:Provide image analysis technology linked to a camera to ID and count coffee bags.

  4. Why do Image Analysis? • Better Definition of Contrasting Areas • Improved Precision/Accuracy in Measurements • Reproducibility of Results • Higher Throughput than Manual Methods

  5. A Word About Our Eyes • Eyes are very good contrast adjusters, but not good for distinguishing subtle variations in color • Eyes can discern about 30 continuous levels of gray or color in a field of view • Eyes are not good judges of distance • Eyes cannot accurately reproduce measurements

  6. Which is BIGGER / LONGER???

  7. Electronic Imaging Fundamentals Acquire Process Identify Analyze Report

  8. Acquiring the Image Arguably, the most important aspect of all • Proper setup of imaging apparatus is vital • Obtain maximum contrast and dynamic range • Reduce “noise” and other unwanted artifacts • Uniform lighting (light) • Product presentation (right way up) • Resolution & Colour (CCTV VS DIGITAL)

  9. Local I/Os: • Trigger input • Results output • Illumination control • Illumination Acquire • Image sensor • Pre-processing • Digitizing • (Lens Iris • Video) • Cat-5e • Ethernet cable • up to 100 m • Image Processing In PC • Lens • Power • Interface • Timing • PLC

  10. Thresholding an Image • Select appropriate morphometric characteristics • Identify regions of interest to analyse • Mask regions • Colour • Size • Shape • Intensity

  11. Product Review • Image Analysis SOFTWARE and HARDWARE would be used to ID and count the coffee bags passing the camera. • All bags passing the camera would be captured and compared to a database of known coffee bags.  • Possible to have an audio and visual alarm on site or generated in the control room if bags either incorrect type or below or above the number required. • A report would be generated showing date, time, images etc.

  12. SYSTEM DESIGN

  13. 3 Payment Options Cost per transaction (no image received, no payment) @ R 0.99 c per bag Fixed monthly cost (same price regardless of no. of bags counted) = R 3, 852.44 Capital amount (no further costs) @ R 96 310.98 Pricing

  14. Technical QUESTIONS: Barry T. DUDLEY (MBA {IT}; MSc {Image Analysis}; BSc {Brewing}; BSc Hons {Waste Technology}) www.i-cube.co.za Cell: +27 (0) 82 562 8225 MADADENI PH +27 (0) 31 764-3077 82 Kloof Falls Rd Fax 0866539659 Kloof, Durban, Kwa-Zulu Natal, 3610 E-mail: images@I-Cube.co.za • “..any sufficiently advanced technology isindistinguishable from magic.” Arthur C. Clark

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