One or more cameras for use in an autonomous checkout in a cashier-less shopping store and otherwise

A method for detecting events and identifying items in detected events in an area of real space in a shopping store, the method including:

• producing raw image data of first-resolution frames of a corresponding field of view in the real space using at least one NFOV image sensor and producing raw image data of second-resolution frames of a corresponding field of view in the real space using at least one WFOV image sensor;
• detecting (i) a particular event and (ii) a location of the particular event in the area of real space using at least a portion of a sequence of second-resolution frames produced by the WFOV image sensor;
• and
• identifying a particular item in the detected particular event by using at least one frame in the sequence of first-resolution frames.

A non-transitory computer readable storage medium impressed with computer program instructions to detect events and identify items in detected events in an area of real space in a shopping store, the instructions, when executed on a processor, implement a method comprising:

• producing raw image data of first-resolution frames of a corresponding field of view in the real space using at least one NFOV image sensor and producing raw image data of second-resolution frames of a corresponding field of view in the real space using at least one WFOV image sensor;
• detecting (i) a particular event and (ii) a location of the particular event in the area of real space using at least a portion of a sequence of second-resolution frames produced by the WFOV image sensor;
• and
• identifying a particular item in the detected particular event by using at least one frame in the sequence of first-resolution frames.