Retail Ordering System With Facial Recognition
AssigneeBite, LLC
InventorsSteve Truong, Jeff Hong, Stas Nikiforov, Brandon Barton
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Abstract
Disclosed herein is a network-based retail order satisfaction system, and related methods, having a local processor, a local kiosk having at least one camera and a digital display, a central processor, a customer information database, and facial recognition software configured to identify a returning customer. Disclosed herein is a network-based retail order satisfaction system, and related methods, having machine learning software configured to predict a returning customer's order and provide menu items on the digital display based on the predicted order.
Claims20
A network-based retail order satisfaction system, the system comprising:
- (a) a local processor on a network, the local processor accessible by an employee user;
- (b) a local kiosk, the kiosk comprising:
- (i) at least one camera disposed on or near the kiosk, wherein the at least one camera is operably coupled to the network;
- (ii) a digital display disposed on the kiosk, wherein the digital display is operably coupled to the network;
- (iii) a speaker disposed on the kiosk;
- and
- (iv) a microphone disposed on the kiosk;
- (c) a central processor in communication with the local processor via the network;
- (d) a customer information database in communication with the central processor, the customer information database configured to store customer information and existing customer images;
- and
- (e) facial recognition software associated with the central processor, the facial recognition software configured to compare an image of an individual captured by the at least one camera with the existing customer images.
A network-based retail order satisfaction system, the system comprising:
- (a) a local processor on a network, the local processor accessible by an employee user;
- (b) a plurality of local kiosks, each of the plurality of local kiosks comprising:
- (i) a user image camera disposed on or near the kiosk to capture an image of an individual, wherein the user image camera is operably coupled to the network;
- (ii) a digital display disposed on the kiosk, wherein the digital display is operably coupled to the network;
- (iii) a car lane camera disposed on or near the kiosk to capture an image of a car lane adjacent to the kiosk, wherein the car lane camera is operably coupled to the network;
- (iv) a license plate camera disposed on or near the kiosk to capture an image of a license plate on a car adjacent to the kiosk, wherein the license plate camera is operably coupled to the network;
- (v) a speaker disposed on the kiosk;
- and
- (vi) a microphone disposed on the kiosk;
- (c) a central processor in communication with the local processor via the network;
- (d) a customer information database in communication with the central processor, the customer information database configured to store customer information existing customer images;
- (e) facial recognition software associated with the central processor, the facial recognition software configured to compare the image of the individual captured by the user image camera with the existing customer images;
- (f) machine learning software associated with the central processor, the machine learning software configured to learn customer preferences and predict future customer preferences based on historical customer order information;
- and
- (g) object recognition software configured to:
- (i) analyze the image of the car lane and determine a number of cars disposed in the car lane;
- and
- (ii) analyze the image of the license plate captured by the third camera and compare a number on the license plate with the customer information.
A method of receiving and fulfilling a retail order, the method comprising:
- providing a local kiosk at a retail location, the kiosk comprising:
- (a) at least one camera disposed on or near the kiosk;
- (b) a digital display disposed on the kiosk;
- (c) a speaker disposed on the kiosk;
- and
- (d) a microphone disposed on the kiosk;
- capturing an image of a customer with the at least one camera;
- identifying the customer based on the image of the customer;
- using stored customer information about the customer to predict future customer preferences;
- and
- providing menu items for selection by a customer on the digital display based on the predicted future customer preferences.
Dependencies are inferred from the claim text.