Image processing sensor systems
First Claim
Patent Images
1. A method of image-based object detection, comprising steps of:
- identifying an object of interest having a plurality of discrete characteristics;
selecting one or more of the discrete characteristics of the object of interest;
collecting images of the object of interest that represent the one or more selected characteristics of the object of interest,electronically processing the collected images on a first processing station to produce a results key on a first processing station;
representing characteristics of the object of interest in a quantified state that is associated with a predictive confidence for presence of the object of interest;
transferring the results key to an image capture and processing device that is remote from the first processing station;
repeatedly using the results key at the image capture and processing device to analyze sample images collected by the image capture and processing device to determine if the object of interest is represented in the sample images, this determination being made by determining if one or more selected characteristics of the object of interest are contained in the sample image; and
conditionally producing an output signal to drive a secondary system for action appropriate to detection of the object of interest when one or more selected characteristics of the object of interest are present in the sample image,wherein the results key is dedicated to a single object of interest and the image capture and processing device operates on a standalone basis without further exchanging data with the first processing station as the image capture and processing device repeatedly uses the results key to analyze sample images for the presence of the object of interest.
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Abstract
An image processing sensor system functions as a standalone unit to capture images and process the resulting signals to detect objects or events of interest. The processing significantly improves selectivity and specificity of detection objects and events.
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Citations
23 Claims
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1. A method of image-based object detection, comprising steps of:
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identifying an object of interest having a plurality of discrete characteristics; selecting one or more of the discrete characteristics of the object of interest; collecting images of the object of interest that represent the one or more selected characteristics of the object of interest, electronically processing the collected images on a first processing station to produce a results key on a first processing station;
representing characteristics of the object of interest in a quantified state that is associated with a predictive confidence for presence of the object of interest;transferring the results key to an image capture and processing device that is remote from the first processing station; repeatedly using the results key at the image capture and processing device to analyze sample images collected by the image capture and processing device to determine if the object of interest is represented in the sample images, this determination being made by determining if one or more selected characteristics of the object of interest are contained in the sample image; and conditionally producing an output signal to drive a secondary system for action appropriate to detection of the object of interest when one or more selected characteristics of the object of interest are present in the sample image, wherein the results key is dedicated to a single object of interest and the image capture and processing device operates on a standalone basis without further exchanging data with the first processing station as the image capture and processing device repeatedly uses the results key to analyze sample images for the presence of the object of interest. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A method of image-based event detection, comprising the steps of:
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identifying a single event of interest having a plurality of discrete characteristics; selecting one or more of the discrete characteristics of the event of interest; collecting images of the event of interest that represent the one or more selected characteristics of the event of interest, electronically processing the collected images to produce a results key on a first processing station; transferring the results key to an image capture and processing device that is remote from the first processing station; repeatedly using the results key at the image capture and processing device to analyze sample images collected by the image capture and processing device to determine if the event of interest is represented in the sample images, this determination being made by determining if one or more selected characteristics of the event of interest are contained in the sample image; and conditionally producing an output signal to drive a secondary system for action appropriate to detection of the event of interest when one or more selected characteristics of the event of interest are present in the sample image, wherein the results key is dedicated to a single event of interest and the image capture and processing device operates on a standalone basis without further exchanging data with the first processing station as the image capture and processing device repeatedly uses the results key to analyze sample images for the presence of the event of interest. - View Dependent Claims (19, 20, 21, 22, 23)
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Specification