SQLsnap: short overview Eckart Modrow University of Göttingen.

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SQLsnap: short overview Eckart Modrow University of Göttingen

Transcript of SQLsnap: short overview Eckart Modrow University of Göttingen.

Page 1: SQLsnap: short overview Eckart Modrow University of Göttingen.

SQLsnap: short overview

Eckart ModrowUniversity of Göttingen

Page 2: SQLsnap: short overview Eckart Modrow University of Göttingen.

Goals:• adapt the ideas of BJC to German situation

(social impacts of CS for CS-beginners)• develop some necessary additions to Snap!

(SQL access, fast image processing)Example: supermarket

“Blownto Bits” (Ableson et. al.):Social impacts often result from the combination of data from different sources. Here: databases and images

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1. step: barcode reader for a checkout scanner

We use a simple barcode, determine the width of the black bars, and generate an appropriate code.

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2. step: smart scale for fruit

Getting width and height is simple, but what about the color?

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3. step: smart scale for real fruit-images

With real images we have too much colors colorspace reduction.

Speed it up with codification.

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4. step: Get data from images!

pattern recognition for car-plates

and for passport photos

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New challenges require new answers!

Thank You!