Laundry washing machine color composition analysis with article alerts
A laundry washing machine and method detect the presence of outlier articles in a load of articles added to a wash tub based in part on color composition data collected from the load of articles using a color detection sensor. In some instances, color composition data may be used to generate an alert to a user to notify the user that an outlier article is potentially present in the load, and in some instances, color compensation data may be used to modify a load type selection to account for the presence of an outlier article in the load.
1. A laundry washing machine, comprising:
a wash tub disposed within a housing;
a color detection sensor positioned to capture color composition data of a load of articles over time as the load of articles is added to the wash tub; and
a controller coupled to the color detection sensor and configured to initiate the capture of the color composition data with the color detection sensor as the load of articles is added to the wash tub, the controller further configured to initiate a color decision algorithm to characterize the captured color composition data by assigning each of a plurality of pixel values in the captured color composition data to one of a plurality of color categories;
wherein the controller is further configured to generate an alert in response to detection of one or more outlier articles from the load of articles added to the wash tub in the categorized color composition data to notify the user of the presence of the one or more outlier articles in the load.
2. The laundry washing machine of claim 1 , wherein the controller is configured to initiate the color decision algorithm by executing at least a portion of the color decision algorithm.
3. The laundry washing machine of claim 1 , wherein the controller is configured to initiate the color decision algorithm by communicating data from the plurality of color composition data captures to a remote device that executes at portion of the color decision algorithm, and wherein the controller is further configured to receive result data associated with the color decision algorithm from the remote device.
4. The laundry washing machine of claim 1 , wherein the color decision algorithm is configured to assign each of the plurality of pixels in the captured color composition data to one of the plurality of color categories by comparing color data for each pixel against a plurality of thresholds associated with the plurality of color categories.
5. The laundry washing machine of claim 1 , wherein the color decision algorithm is configured to determine a number of pixels in the captured color composition data that are assigned to each of the plurality of color categories, and to characterize the load of articles based upon the determined numbers of pixels.
6. The laundry washing machine of claim 5 , wherein the color decision algorithm is configured to characterize the load of articles based upon the determined numbers of pixels by comparing the determined numbers of pixels against thresholds associated with one or more of the plurality of color categories.
7. The laundry washing machine of claim 6 , wherein the color decision algorithm is configured to detect the one or more outlier articles based upon a determined number of pixels assigned to a different color category from that to which the load of articles is assigned by comparing the determined number of pixels assigned to the different color category from that to which the load of articles is assigned to a threshold separate from that used for the color category to which the load of articles is assigned.
8. The laundry washing machine of claim 6 , wherein the color decision algorithm is configured to detect the one or more outlier articles based upon a majority of the determined numbers of pixels being assigned to a first color category but the determined number of pixels assigned to the first color category not meeting a threshold associated with the first color category.
9. The laundry washing machine of claim 8 , wherein:
the plurality of color categories to which the pixels are assigned includes a whites color category, a lights color category, and a darks color category;
the color decision algorithm is configured to characterize the load of articles based upon the determined numbers of pixels by:
characterizing the load of articles as a whites load in response to a majority of the determined numbers of pixels being assigned to the whites color category and the determined number of pixels assigned to the whites color category meeting a whites threshold;
characterizing the load of articles as a lights load in response to a majority of the determined numbers of pixels being assigned to the lights color category and the determined number of pixels assigned to the lights color category meeting a lights threshold; and
characterizing the load of articles as a darks load in response to a majority of the determined numbers of pixels being assigned to the darks color category and the determined number of pixels assigned to the darks color category meeting a darks threshold; and
the color decision algorithm is configured to detect the one or more outlier articles based upon the determined numbers of pixels by:
detecting the one or more outlier articles in response to a majority of the determined numbers of pixels being assigned to the whites color category but the determined number of pixels assigned to the whites color category not meeting the whites threshold;
detecting the one or more outlier articles in response to a majority of the determined numbers of pixels being assigned to the lights color category but the determined number of pixels assigned to the lights color category not meeting the lights threshold; and
detecting the one or more outlier articles in response to a majority of the determined numbers of pixels being assigned to the darks color category and the determined number of pixels assigned to the darks color category not meeting the darks threshold.
10. The laundry washing machine of claim 1 , wherein the controller is configured to generate the alert by generating an audible and/or visual alert with a user interface of the laundry washing machine.
11. The laundry washing machine of claim 1 , wherein the controller is further configured to pause a wash cycle in connection with generating the alert to give the user an opportunity to remove the one or more outlier articles, and to proceed with the wash cycle in response to user input confirming that the one or more articles have been removed.
12. A laundry washing machine, comprising:
a wash tub disposed within a housing;
a color detection sensor positioned to capture color composition data of a load of articles over time as the load of articles is added to the wash tub; and
a controller coupled to the color detection sensor and configured to initiate the capture of the color composition data with the color detection sensor as the load of articles is added to the wash tub, the controller further configured to initiate a color decision algorithm to characterize the captured color composition data by assigning each of a plurality of pixel values in the captured color composition data to one of a plurality of color categories;
wherein the color decision algorithm is configured to automatically select a first color load type for the load based upon the categorized color composition data, and to select a second color load type for the load over the first color load type in response to detection that one or more outlier articles are present in the load of articles added to the wash tub in the categorized color composition data.
13. The laundry washing machine of claim 12 , wherein the controller is further configured to generate an alert in response to the detection of the one or more outlier articles from the load of articles added to the wash tub in the categorized color composition data.
14. The laundry washing machine of claim 12 , wherein the color decision algorithm is configured to select the first color load type using a first threshold associated with load type characterization and select the second color load type over the first color load type using a second threshold associated with identifying outlier articles.
15. The laundry washing machine of claim 12 , wherein the color decision algorithm is configured to determine a number of pixels in the captured color composition data that are assigned to each of the plurality of color categories, and to characterize the load of articles based upon the determined numbers of pixels.
16. The laundry washing machine of claim 15 , wherein the color decision algorithm is configured to characterize the load of articles based upon the determined numbers of pixels by comparing the determined numbers of pixels against thresholds associated with one or more of the plurality of color categories.
17. The laundry washing machine of claim 16 , wherein the color decision algorithm is configured to select the second color load type for the load over the first color load type based upon a determined number of pixels assigned to a different color category from that associated with the first color load type.
18. The laundry washing machine of claim 16 , wherein the color decision algorithm is configured to detect the one or more outlier articles based upon a majority of the determined numbers of pixels being assigned to a first color category but the determined number of pixels assigned to the first color category not meeting a threshold associated with the first color category.
19. The laundry washing machine of claim 18 , wherein:
the plurality of color categories to which the pixels are assigned includes a whites color category, a lights color category, and a darks color category;
the color decision algorithm is configured to characterize the load of articles based upon the determined numbers of pixels by:
characterizing the load of articles as a whites load in response to a majority of the determined numbers of pixels being assigned to the whites color category and the determined number of pixels assigned to the whites color category meeting a whites threshold;
characterizing the load of articles as a lights load in response to a majority of the determined numbers of pixels being assigned to the lights color category and the determined number of pixels assigned to the lights color category meeting a lights threshold; and
characterizing the load of articles as a darks load in response to a majority of the determined numbers of pixels being assigned to the darks color category and the determined number of pixels assigned to the darks color category meeting a darks threshold; and
the color decision algorithm is configured to detect the one or more outlier articles based upon the determined numbers of pixels by:
detecting the one or more outlier articles in response to a majority of the determined numbers of pixels being assigned to the whites color category but the determined number of pixels assigned to the whites color category not meeting the whites threshold;
detecting the one or more outlier articles in response to a majority of the determined numbers of pixels being assigned to the lights color category but the determined number of pixels assigned to the lights color category not meeting the lights threshold; and
detecting the one or more outlier articles in response to a majority of the determined numbers of pixels being assigned to the darks color category and the determined number of pixels assigned to the darks color category not meeting the darks threshold.
20. The laundry washing machine of claim 19 , wherein the whites threshold is a first whites threshold and the darks threshold is a first darks threshold, and wherein the color decision algorithm is further configured to:
characterize the load of articles as a lights load in response to a majority of the determined numbers of pixels being assigned to the whites color category but the determined number of pixels assigned to the whites color category not meeting a second whites threshold; and
characterize the load of articles as a lights load in response to a majority of the determined numbers of pixels being assigned to the darks color category but the determined number of pixels assigned to the darks color category not meeting a second darks threshold.