We Claim:
1. A computer-implemented method for dispensing fluid into a receptacle, the method
comprising:
receiving first imaging data, wherein the first imaging data indicates a receptacle;
determining, based on the first imaging data, classification information for the receptacle,
wherein the classification information classifies an empty state for the receptacle and a full state
for the receptacle;
causing, based on an image of the first imaging data and the classification information indicating
that the receptacle is in the empty state, fluid to start pouring into the receptacle;
receiving second imaging data, wherein the second imaging data indicates the receptacle; and
causing, based on an image of the second imaging data and the classification information
indicating that the receptacle is in the full state, the fluid to stop pouring into the receptacle.
2. The method of claim 1, wherein the determining the classification information for the
receptacle is based on at least one of object recognition or image recognition.
3. The method of claim 1, wherein the causing the fluid to start pouring into the receptacle
further comprises:
sending, to a pouring device, a request to start pouring the fluid into the receptacle, wherein the
pouring device is configured to dispense a plurality of fluids.
4. The method of claim 1, wherein the causing the fluid to stop pouring into the receptacle
further comprises:
sending, to a pouring device, a request to stop pouring the fluid into the receptacle, wherein the
pouring device is configured to dispense a plurality of fluids.
5. The method of claim 4, further comprising:
causing the pouring device to transition to an inactive state in response to causing the fluid to
stop pouring into the receptacle.
6. The method of claim 1, further comprising:
inputting, into a predictive model, the first imaging data;
executing, based on the first imaging data, the predictive model; and
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receiving, based on the classification information for the receptacle, the indication that the
receptacle is in the empty state.
7. The method of claim 1, further comprising:
inputting, into a predictive model, the second imaging data;
executing, based on the second imaging data, the predictive model; and
receiving, based on the classification information for the receptacle, the indication that the
receptacle is in the full state.
8. A system for dispensing fluid into a receptacle, comprising:
a memory; and
at least one processor coupled to the memory and configured to:
receive first imaging data, wherein the first imaging data indicates the receptacle;
determine, based on the first imaging data, classification information for the receptacle, wherein
the classification information classifies an empty state for the receptacle and a full state for the
receptacle;
cause, based on an image of the first imaging data and the classification information indicating
that the receptacle is in the empty state, fluid to start pouring into the receptacle;
receive second imaging data, wherein the second imaging data indicates the receptacle; and
cause, based on an image of the second imaging data and the classification information indicating
that the receptacle is in the full state, the fluid to stop pouring into the receptacle.
9. The system of claim 8, wherein to determine the classification information for the
receptacle, the at least one processor is further configured to determine the classification
information for the receptacle based on object recognition.
10. The system of claim 8, wherein to cause the fluid to start pouring into the receptacle, the
at least one processor is further configured to:
send, to a pouring device, a request to start pouring the fluid into the receptacle, wherein the
pouring device is configured to dispense a plurality of fluids.