Apparatus and method for spectroscopic product recognition and identification
First Claim
1. A produce recognition system comprising:
- a checkout counter;
a bar code reader at the checkout counter, including a scale for producing a weight signal representing a weight of a produce item to be purchased during a transaction at the checkout counter;
a light source within the checkout counter for illuminating the produce item with light for identifying the produce item;
a spectrometer within the checkout counter which receives a reflected portion of the light from the produce item, including a dispersion element which disperses the reflected portion of the light into a plurality of finely spaced wavelengths of light, and a photodetector array which converts the plurality of finely spaced wavelengths of light to corresponding proportional electrical signals to produce a first spectra;
storage means for storing a set of reference spectra;
a computer coupled to the storage means, the bar code reader, and the spectrometer, which compares the first spectra from the photodetector array to the set of reference spectra to identify a second spectra within the set of reference spectra which most closely resembles the first spectra, and which determines a price of the produce item associated with the second spectra based upon the weight of the produce item.
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Accused Products
Abstract
An optical identification system includes a light source with a broad wavelength spectrum that is directed on an object to be identified. Suitable optical components, such as, one or more collimating lenses gather light that is reflected from the object and direct this light into a spectrometer. The spectrometer disperses the collimated light using a dispersing element, such as one or more gratings, prisms or a combinations of both, onto an array of detectors. The array of detectors may be comprised of a linear diode array or a charge-coupled device (CCD) array which indicates the amount of light at each of a finely-spaced set of wavelengths covering a wide spectral range. The detectors are sensitive over a wavelength region, for example, in the case of silicon detectors from near-infrared plus the visible region, e.g., from 250 nm to 1100 nm. The set of signals from the detectors is read with an analog to digital converter, and transferred to a computer in the form of a spectrum. A set of known spectra determine the reference spectra and the unknown test spectrum is compared with the reference sets. A software program in the computer compares the test spectrum with reference spectra sets utilizing a statistical program. The program takes into account how much the known spectra vary from one another in addition to the average values. A display reads out a list of possible matches in rank order that have a probability of match greater than a predetermined threshold. An operator checks that the first listed item is correct and either accepts the first choice or indicates the correct choice. As an alternative, the system could automatically accept the first choice.
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Citations
11 Claims
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1. A produce recognition system comprising:
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a checkout counter; a bar code reader at the checkout counter, including a scale for producing a weight signal representing a weight of a produce item to be purchased during a transaction at the checkout counter; a light source within the checkout counter for illuminating the produce item with light for identifying the produce item; a spectrometer within the checkout counter which receives a reflected portion of the light from the produce item, including a dispersion element which disperses the reflected portion of the light into a plurality of finely spaced wavelengths of light, and a photodetector array which converts the plurality of finely spaced wavelengths of light to corresponding proportional electrical signals to produce a first spectra; storage means for storing a set of reference spectra; a computer coupled to the storage means, the bar code reader, and the spectrometer, which compares the first spectra from the photodetector array to the set of reference spectra to identify a second spectra within the set of reference spectra which most closely resembles the first spectra, and which determines a price of the produce item associated with the second spectra based upon the weight of the produce item. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A produce recognition system comprising:
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a checkout counter; a bar code reader at the checkout counter, including a scale for producing a weight signal representing a weight of a produce item to be purchased during a transaction at the checkout counter; a light source within the checkout counter for illuminating the produce item with light for identifying the produce item while the produce item is being weighed by the scale; a spectrometer within the checkout counter which receives a reflected portion of the light from the produce item, including a dispersion element which disperses the reflected portion of the light into a plurality of finely spaced wavelengths of light, and a photodetector array which converts the plurality of finely spaced wavelengths of light to corresponding proportional electrical signals to produce a first spectra; storage means for storing a set of reference spectra; a computer coupled to the storage means, the bar code reader, and the spectrometer, which compares the first spectra from the photodetector array to the set of reference spectra to identify a second spectra within the set of reference spectra which most closely resembles the first spectra, and which determines a price of the produce item associated with the second spectra based upon the weight of the produce item.
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Specification