Algorithm for a pool cleaner
A pool cleaner is provided. The pool cleaner includes a housing and an imaging device mounted to the housing. The imaging device is configured to acquire at least one image of an aquatic environment. The pool cleaner also includes a controller in communication with the imaging device. The controller identifies candidate debris from the at least one image, determines an optimal cleaning pathway, and navigates the pool cleaner to the candidate debris along the optimal cleaning pathway. The pool cleaner further includes a scrub brush disposed on the housing and configured to move the candidate debris, and a removable filter canister configured to collect the candidate debris.
1. A pool cleaner, comprising:
a housing and an imaging device mounted to the housing; the imaging device configured to acquire at least one image of an aquatic environment;
a controller in communication with the imaging device, wherein the controller identifies candidate debris from the at least one image, determines an optimal cleaning pathway using a customizable threshold that is based on a particle size of the candidate debris, and navigates the pool cleaner to the candidate debris along the optimal cleaning pathway;
a scrub brush disposed on the housing and configured to move the candidate debris; and
a removable filter canister configured to collect the candidate debris.
2. The pool cleaner of claim 1 , wherein the controller is further configured to analyze at least two potential candidate debris-containing pathways and determines which of the at least two potential candidate debris-containing pathways is the optimal cleaning pathway.
3. The pool cleaner of claim 1 , wherein the controller is further configured to assign a path score to each of the at least two potential candidate debris-containing pathways and select the optimal cleaning pathway.
4. The pool cleaner of claim 3 , wherein the controller assigns the path score based on one or more of the particle size of the candidate debris, a distance of the candidate debris from the imaging device, or a smoothness of motion value.
5. The pool cleaner of claim 3 , wherein the controller prioritizes the candidate debris that is closer to the imaging device when assigning the path score.
6. The pool cleaner of claim 4 , wherein the controller reduces the path score based on a degree to which the pool cleaner angularly deviates from a current trajectory in order to follow a particular candidate debris-containing pathway.
7. The pool cleaner of claim 1 , wherein the controller is further configured to utilize candidate debris historical data to determine whether a particular object in the aquatic environment is the candidate debris.
8. The pool cleaner of claim 1 further comprising a plurality of treads configured to facilitate the pool cleaner traversing the aquatic environment.
9. The pool cleaner of claim 8 further comprising a drive system configured to drive the plurality of treads.
10. The pool cleaner of claim 1 , wherein the housing of the pool cleaner is provided in a generally rectangular shape.
11. The pool cleaner of claim 1 , wherein the housing further includes a handle.
12. A method of collecting debris in an aquatic environment using a pool cleaner having a housing and an imaging device mounted to the housing, the method comprising:
acquiring at least one image in the aquatic environment using the imaging device;
analyzing the at least one image to identify debris;
identifying a debris-containing pathway in the aquatic environment using a customizable threshold that is based on a particle size of the identified debris;
navigating the pool cleaner to the debris along the optimal cleaning pathway;
moving the debris with a scrub brush of the pool cleaner; and
collecting the debris in a filter canister of the pool cleaner.
13. A method of claim 12 , wherein the pool cleaner further comprises a controller in communication with the imaging device, the controller is configured to create a secondary image from the at least one image, the secondary image having enhanced contrast.
14. A method of claim 13 , wherein the controller is further configured to binarize the secondary image to create a tertiary image and black and white contrast is created within the tertiary image.
15. A method of claim 14 , wherein the controller is further configured to filter out noise and artifacts from the tertiary image to identify objects to be removed from the aquatic environment.
16. A method of claim 13 , wherein the secondary image is a linear combination of a first percentage of a saturation channel and a second percentage of a blue channel.
17. A method of claim 16 , wherein each pixel of the linear combination has a value that represents a brightness characteristic of the secondary image.