Connected food preparation system and method of use
A connected oven, including a set of in-cavity sensors and a processor configured to automatically identify foodstuff within the cooking cavity, based on the sensor measurements; and automatically operate the heating element based on the foodstuff identity.
1. A method for oven operation, the method comprising:
detecting a foodstuff insertion event for an oven comprising an oven cavity, a camera directed toward the oven cavity, a door comprising a window, and a laterally offset touchscreen mounted to the window;
determining a series of cooking instructions;
controlling oven operation according to the series of cooking instructions; and
capturing video of the oven cavity with the camera during at least one of a time period after detecting the foodstuff insertion event or during oven operation according to the series of cooking instructions, wherein:
the video is capable of transmission to a user device through a wireless connection established between the oven and the user device; and
the video is capable of being displayed on a user display of the user device.
2. The method of claim 1 , further comprising identifying foodstuff in a frame of the video and providing a recommended cooking method.
3. The method of claim 2 , wherein the cooking method is selected from a cooking method set comprising: steaming, smoking, baking, drying, and convection cooking.
4. The method of claim 2 , wherein the foodstuff is identified using a machine learning model trained to identify the foodstuff.
5. The method of claim 1 , further comprising receiving a user selection of a cooking method, wherein the series of cooking instructions are determined based on the user selection.
6. The method of claim 5 , wherein the user selection is received at a user device separate from the oven.
7. The method of claim 5 , wherein the touchscreen is opaque, wherein the user selection is received at the opaque touchscreen mounted to a window of a door of the oven.
8. The method of claim 5 , wherein a food identification module is trained based on the user selection and the video.
9. The method of claim 1 , wherein the video is further capable of being transmitted to a remote system, separate from the oven and the user device, wherein the video is used to train a machine learning model to identify the foodstuff.
10. The method of claim 1 , further comprising:
periodically determining food parameter values during oven operation; and
dynamically adjusting upcoming cooking instructions within the series of cooking instructions based on the periodically determined food parameter values.
11. The method of claim 10 , wherein the cooking instructions comprise a cook time.
12. The method of claim 10 , wherein the food parameter values comprise an internal foodstuff temperature.
13. The method of claim 10 , further comprising generating a notification based on the food parameter values, wherein the notification is configured to be sent to the user device.
14. The method of claim 1 , wherein the video is transmitted from the oven to a remote computing system and from the remote computing system to the user display.
15. A system comprising:
an oven cavity;
a door comprising a window and a laterally offset touchscreen mounted to the window;
a camera mounted to an oven interior and directed toward the oven cavity; and
a processing system configured to:
detect a foodstuff insertion event;
determine a series of cooking instructions;
control oven operation according to the series of cooking instructions; and
capturing video of the oven cavity with the camera during at least one of after detecting the foodstuff insertion event or during oven operation according to the series of cooking instructions, wherein the video is capable of transmission to a user device through a wireless connection established between the oven and the user device, and the video is capable of being displayed on a user display of the user device.
16. The system of claim 15 , wherein the touchscreen is opaque.
17. The system of claim 15 , wherein the processing system further comprises a deep learning module and a food identification module.
18. The system of claim 17 , wherein the processing system is arranged along a bottom of the oven.
19. The system of claim 15 , wherein the system excludes a lateral control panel space.
20. The system of claim 15 , wherein the processing system is configured to receive control instructions from an application executing on a user device.
21. The system of claim 15 , wherein the touchscreen does not extend along an entire dimension of the window.