System to determine piping configuration under sink
Disclosed are various embodiments for determining piping configurations in an under-sink or similar environment. A computing device, such as a mobile device or a server, may be directed to access a digital image, such as a photograph of an under-sink environment. An analysis of the under-sink environment may be performed to generate a plurality of suggested configurations of piping for placement in the under-sink environment using compliance criteria. A selection of one of the suggested configurations may be received and a parts list for the one of the suggested configurations may be generated. A series of instructions to complete an assembly of the one of the suggested configurations may be generated.
1. A system, comprising:
a client device comprising at least one hardware processor; and
program instructions stored in memory and executable in the client device that, when executed, direct the client device to:
access at least one digital image, the at least one digital image comprising a photograph of an under-sink environment;
perform an analysis of the under-sink environment to generate a plurality of suggested configurations of piping for placement in the under-sink environment using compliance criteria;
receive a selection of one of the suggested configurations;
generate a parts list for the one of the suggested configurations as selected;
generate a series of instructions to complete an assembly of the one of the suggested configurations as selected; and
display the parts list and the series of instructions in a display communicatively coupled to the client device.
2. The system of claim 1 , wherein the suggested configurations of the piping are generated by identifying, during the analysis, a presence and a location of:
at least one sink in the under-sink environment;
at least one drain pipe extending from the at least one sink in the under-sink environment;
a drain outlet in the under-sink environment; and
at least one of: a water line; a water line valve; a garbage disposal; a garbage disposal outlet; and a dishwasher line.
3. The system of claim 2 , wherein the client device is further directed to:
display a virtual representation of the suggested configuration relative to the under-sink environment prior to receipt of a confirmation of the suggested configuration.
4. The system of claim 1 , wherein the client device is further directed to:
prompt an operator of the client device to confirm a size of at least one component in the under-sink environment prior to generating the suggested configurations.
5. The system of claim 1 , wherein the client device is further directed to verify a completion of at least one task in the series of instructions.
6. The system of claim 1 , wherein the client device is further directed to pre-process the at least one digital image prior to the analysis of the under-sink environment.
7. The system of claim 1 , wherein the client device is further directed to apply an object detection and classification routine to the at least one digital image to identify a presence and a location of at least one component in the under-sink environment.
8. The system of claim 7 , wherein the object detection and classification routine is a machine learning routine configured for object detection and classification, the machine learning routine being trained using manually-verified object classification data.
9. A system, comprising:
at least one computing device comprising at least one hardware processor; and
program instructions stored in memory and executable in the at least one computing device that, when executed, direct the at least one computing device to:
access at least one digital image, the at least one digital image comprising a photograph of an under-sink environment received from a client device;
perform an analysis of the under-sink environment to generate a plurality of suggested configurations of piping for placement in the under-sink environment using compliance criteria;
receive a selection of one of the suggested configurations;
generate a parts list for the one of the suggested configurations as selected;
generate a series of instructions to complete an assembly of the one of the suggested configurations as selected; and
send the parts list and the series of instructions to the client device for display in a display device communicatively coupled to the client device.
10. The system of claim 9 , wherein the suggested configurations of the piping are generated by identifying, during the analysis, a presence and a location of:
at least one sink in the under-sink environment;
at least one drain pipe extending from the at least one sink in the under-sink environment;
a drain outlet in the under-sink environment; and
at least one of: a water line; a water line valve; a garbage disposal; a garbage disposal outlet; and a dishwasher line.
11. The system of claim 10 , wherein the at least one computing device is further directed to:
generate a virtual representation of the suggested configuration relative to the under-sink environment prior to receipt of a confirmation of the suggested configuration, the at least one computing device directing the client device to display the virtual representation of the suggested configuration.
12. The system of claim 9 , wherein the at least one computing device is further directed to:
direct the client device to prompt an operator of the client device to confirm a size of at least one component in the under-sink environment prior to generating the suggested configuration.
13. The system of claim 9 , wherein the at least one computing device is further directed to verify a completion of at least one task in the series of instructions.
14. The system of claim 9 , wherein the at least one computing device is further directed to pre-process the at least one digital image prior to the analysis of the under-sink environment.
15. The system of claim 9 , wherein the at least one computing device is further directed to apply an object detection and classification routine to the at least one digital image to identify a presence and a location of at least one component in the under-sink environment.
16. The system of claim 15 , wherein the object detection and classification routine is a machine learning routine configured for object detection and classification, the machine learning routine being trained using manually-verified object classification data.
17. A computer-implemented method, comprising:
accessing, by at least one computing device comprising at least one hardware processor, at least one digital image, the at least one digital image comprising a photograph of an under-sink environment;
performing, by the at least one computing device, an analysis of the under-sink environment to generate a plurality of suggested configurations of piping for placement in the under-sink environment using compliance criteria;
receiving, by the at least one computing device, a selection of one of the suggested configurations;
generating, by the at least one computing device, a parts list for the one of the suggested configurations as selected;
generating, by the at least one computing device, a series of instructions to complete an assembly of the one of the suggested configurations as selected; and
sending, by the at least one computing device, the parts list and the series of instructions to a client device for display in a display device communicatively coupled to the client device.
18. The computer-implemented method of claim 17 , wherein the suggested configurations of the piping are generated by identifying, during the analysis, a presence and a location of:
at least one sink in the under-sink environment;
at least one drain pipe extending from the at least one sink in the under-sink environment;
a drain outlet in the under-sink environment; and
at least one of: a water line; a water line valve; a garbage disposal; a garbage disposal outlet; and a dishwasher line.
19. The computer-implemented method of claim 17 , further comprising:
generating, by the at least one computing device, a virtual representation of the suggested configurations relative to the under-sink environment prior to receipt of a confirmation of the suggested configuration, the at least one computing device directing the client device to display the virtual representation of the suggested configuration;
directing, by the at least one computing device, the client device to prompt an operator of the client device to confirm a size of at least one component in the under-sink environment prior to generating the suggested configuration;
verifying, by the at least one computing device, a completion of at least one task in the series of instructions; and
pre-processing, by the at least one computing device, the at least one digital image prior to the analysis of the under-sink environment.
20. The computer-implemented method of claim 17 , wherein:
the computer-implemented method further comprises applying an object detection and classification routine to the at least one digital image to identify a presence and a location of at least one component in the under-sink environment; and
the object detection and classification routine is a machine learning routine configured for object detection and classification, the machine learning routine being trained using manually-verified object classification data.