Two dimensional barcode with dynamic environmental data system, method, and apparatus
Methods, systems, and apparatus for combining preprinted information together with coded sensor information within a two-dimensional barcode. The sensor information may be of an environmental, physical or biological nature, and records a cumulative change in status of the environmental or biological condition to which the labeled product has been exposed. A sensor dye chemistry is employed that undergoes a continuous chemical or physical state change in response to the occurrence of the environmental condition. The continuous change is between an initial state and an end state causing a change in the color state of the sensor dye embedded within the sensor-augmented two-dimensional barcode, encoding sensor digital information. Sensor information is recovered utilizing the error-correction feature during barcode decoding.
1. A method of reading of a sensor-augmented two-dimensional barcode symbol comprising:
optically scanning an image of the sensor-augmented two-dimensional barcode symbol to obtain color values for pixels in the image;
constructing a scanned pixel map including the color values;
processing the pixels in the scanned pixel map by assigning a binary color value to each of the pixels to form a binarised pixel map;
identifying the two-dimensional barcode symbol in the binarised pixel map;
decoding the identified two-dimensional barcode symbol in the binarised pixel map to recover a symbol codeword sequence;
recovering data codewords from the symbol codeword sequence by utilizing an error-correction process on the symbol codeword sequence;
processing the data codewords for identification of barcode modules in a Censor dye dynamic region;
determining an average color value of the barcode modules in the dynamic region; and
processing the average color value of the dynamic region to determine a reflectance percentage of incident light at a time of scanning.
2. The method of claim 1 , further comprising:
capturing white light reflectance of one of the pixels included in the dynamic region; and
creating a colored light filter effect on reflectance data from the scanned pixels utilizing a filter to generate filtered colored image values of the pixels in the scanned pixel map.
3. The method of claim 2 , further comprising:
reducing the filtered colored image values of the pixels in the scanned pixel map to greyscale values;
determining an average greyscale value of the barcode modules; and
processing the average greyscale value to determine the reflectance percentage of incident light at the time of scanning.
4. The method of claim 1 , wherein processing the pixels in the scanned pixel map includes classifying each of the pixels as one of a black pixel, a white pixel, and a color pixel.
5. The method of claim 4 , wherein the black pixels, the white pixels, and the color pixels are used to form a ternarised pixel map, and the black pixels and the white pixels in the ternarised pixel map are used to identify the two-dimensional barcode symbol in the ternarised pixel map.
6. The method of claim 1 , wherein the dynamic region is located in an invariant area of a Data Matrix barcode symbol.
7. The method of claim 1 , wherein the sensor dye dynamic region includes at least one of a dynamic ink and a that is responsive to environmental factors including at least one of temperature, time, radiation, light, and toxic chemicals.
8. The method of claim 1 , wherein the data code words are part of an error correcting code chosen from the group consisting of Bose-Chaudhuri-Hocquenghem Codes, Hamming Codes, Golay Codes, Simplex Codes, Reed-Muller Codes, Fire Codes, Convolutional Codes, and Reed-Solomon Codes.
9. The method of claim 1 , wherein the color values for at least the portion of the pixels in the image are configured to permanently change to the end color state when the environmental condition crosses a threshold value.
10. The method of claim 1 , wherein the color values for at least a portion of the pixels in the image are configured to gradually change from an initial color state to an end color state indicative of a cumulative exposure to an occurrence of an environmental condition.
11. The method of claim 10 , wherein the environmental condition is selected from the group consisting of time, temperature, and time-temperature product.
12. The method of claim 10 , wherein the color values for at least a portion of the pixels in the image gradually reach an intermediate color state between the initial color state and the end state, wherein the intermediate color state indicates a remaining product life.
13. A method of reading of a sensor-augmented two-dimensional barcode symbol comprising:
optically scanning an image of the sensor-augmented two-dimensional barcode symbol to obtain a greyscale value for each pixel in the image;
constructing a greyscale pixel map of the pixels in the sensor-augmented two-dimensional barcode symbol;
processing the pixels in the greyscale pixel map by assigning a binary color value to each of the pixels and to form a binarised pixel map;
identifying the two-dimensional barcode symbol in the binarised pixel map;
decoding the identified two-dimensional barcode symbol in the binarised pixel map to recover a symbol codeword sequence;
recovering data codewords from the symbol codeword sequence utilizing an error-correction process on the symbol codeword sequence;
processing the data codewords for identification of barcode modules in a dynamic region;
determining an average greyscale value of the barcode modules in the dynamic region; and
processing the average greyscale value of the barcode modules in the dynamic region to determine a reflectance percentage of incident light at a time of scanning.
14. The method of claim 13 , wherein an optical bandpass filter is used when scanning the image to create the effect of monochrome illumination.
15. The method of claim 13 , wherein a light source is used to optically scan the image, the light source being a monochrome laser.
16. The method of claim 13 , wherein a barcode imager is used to optically scan the image, and the barcode imager is responsive only to greyscale values.
17. The method of claim 13 , wherein the data code words are part of an error correcting code chosen from the group consisting of Bose-Chaudhuri-Hocquenghem Codes, Hamming Codes, Golay Codes, Simplex Codes, Reed-Muller Codes, Fire Codes, Convolutional Codes, and Reed-Solomon Codes.
18. The method of claim 13 , wherein the color values for at least a portion of the pixels in the image are configured to gradually change from an initial color state to an end color state indicative of a cumulative exposure to an occurrence of an environmental condition.
19. The method of claim 18 , wherein the environmental condition is selected from the group consisting of time, temperature, and time-temperature product.
20. The method of claim 18 , wherein the color values for at least a portion of the pixels in the image gradually reach an intermediate color state between the initial color state and the end state, wherein the intermediate color state indicates a remaining product life.