System and method for identifying grab-and-go transactions in a cashierless store

A method, in a data processing system comprising a processor and a memory, for detecting a commercial transaction through physical interactions with items, the method comprising:

• receiving, by a computing device, data from a plurality of sensory modules associated with one or more shelves within a container, the plurality of sensory modules including a static cameras module, a weight sensors module, and a video cameras module, wherein the data includes physical activities corresponding to items on the smart shelves in a given session;
• resolving, by the computing device, the data from the sensory modules using probabilistic reasoning and machine learning;
• determining, by the computing device, a new container state after the given session based on the resolved data;
• and
• determining, by the computing device, a final commercial transaction based on the new container state.

Non-transitory computer-readable media comprising program code that when executed by a programmable processor causes execution of a method for detecting a commercial transaction through physical interactions with items, the computer-readable media comprising:

• computer program code for receiving data from a plurality of sensory modules associated with one or more shelves within a container, the plurality of sensory modules including a static cameras module, a weight sensors module, and a video cameras module, wherein the data includes physical activities corresponding to items on the smart shelves in a given session;
• computer program code for resolving the data from the sensory modules using probabilistic reasoning and machine learning;
• computer program code for determining a new container state after the given session based on the resolved data;
• and
• computer program code for determining a final commercial transaction based on the new container state.