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ImageR Sensing Extraction and easy integration tools (ISEEIT)

ImageR Sensing Extraction and easy integration tools (ISEEIT). Michael Wilson Deborah Estrin, Faculty Advisor Josh Hyman, Graduate Advisor. Imagers As Sensors. Inexpensive, low power sensor networks Impossible or invasive deployments Timed collection Massive datasets Batch processing

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ImageR Sensing Extraction and easy integration tools (ISEEIT)

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  1. ImageR Sensing Extraction and easy integration tools (ISEEIT) Michael Wilson Deborah Estrin, Faculty Advisor Josh Hyman, Graduate Advisor

  2. Imagers As Sensors • Inexpensive, low power sensor networks • Impossible or invasive deployments • Timed collection • Massive datasets • Batch processing • Image Analysis • Trend Identification

  3. Current Image Processing Suites • Generalized Solutions • Matlab • Photoshop • Specialized Solutions • ENVI • EyeBatch

  4. Generalized Solutions • Powerful, therefore complex • Expensive • High cost to entry

  5. Specialized Solutions • Limited • Immutable algorithms • High cost to switch

  6. ISEEIT Solutions • More specialized than the generalizations • Agree image data with extracted features • Batch process with little effort • More general than the specializations • Arbitrary feature extraction algorithms • Low cost to switch

  7. ISEEIT Framework

  8. Screenshot RGB Histogram

  9. Screenshot RGB Histogram

  10. Thank You

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