System, apparatus and method of item location, list creation, routing, imaging and detection

A system allowing a user to check out at a store, the apparatus and system comprising:

• a processor;
• a kiosk in wireless communication with the processor, the processor in communication with a database of learned images, the kiosk having at least one camera, then at least one camera in communication with the database, said database continuously being updated based on prior transactions within;
• the processor comparing items physically present with said database of images to authenticate products during the checkout process, the processor storing product information in said database so as to improve accuracy and precision by way of machine learning.

A system for authenticating items gathered by a user in a store, the system comprising:

• at least one camera in a shopping location of a store, the camera capable of viewing a user and their surroundings in a frame in the shopping location of the store;
• the camera configured to detect a trained item that a user picks up in real-time, the camera only detecting the trained item wherein the trained item is a product with data stored in a database of images corresponding to said store;
• a processor in communication with the database of images, using machine learning the processor compares the trained item in real-time to the database of images to determine the specific product.

A drone assistance system for use in a store configured to assist a user while shopping, the drone assistance system comprising:

• a drone in communication with a mobile device of a user, the drone having light projection features;
• the drone in communication with a processor, the processor having the specific location of an item in a store;
• the drone is configured to receive item location from the processor after item location is requested from the user, the drone configured to find said item within a store and illuminate a single item within the store to indicate to the user the item's exact location.

A drone system comprising:

• a shelving unit having an uppermost shelf;
• a wireless charging pad configured to charge a drone, the wireless charging pad positioned on said uppermost shelf.

A system for item imaging, the system comprising:

• a radio transmitter configured to send signals that project onto desired objects or areas, the signals traveling through solid surfaces and creating a return signal when they interact with surfaces or objects that are received by a radio receiver;
• and
• a processor configured to interpret the signals received by the radio receiver so as to determine if there are additional items behind an object not viewable by a traditional camera.

A system for landmark navigation within a store, the system comprising:

• a mobile application on a mobile device, the mobile application having a user interface configured to allow the user to select a landmark navigation option;
• a processor configured to process a route based on the user's shopping list or based on a specific item the user is shopping for;
• a route matrix evaluating the distance between existing navigation points, if said distance meets or exceed a landmark requirement threshold, then the system inserts a landmark navigation point between qualifying navigation steps thereby informing the user that a specific product is located near a specific landmark.

A system for improving image processing, the system comprising:

• at least one depth sensing camera, the depth sensing camera finding a focal point within a frame;
• a processor configured to retrieve depth data from the corresponding area in the frame where the focal point is located, the processor configured to use said depth data to determine a background contained within the frame;
• the processor then placing a binary mask over said background so as to block out unnecessary imagery in the camera's field of view thereby improving accuracy.