Method and system to provide real time interior analytics using machine learning and computer vision

A system comprising:

• at least one video capture device;
• and
• an analytics platform comprising:
• a memory;
• and
• at least one processor coupled to the memory and configured to:
• receive a first video frame from the at least one video capture device positioned to capture activity at a location within a monitored area;
• receive a second video frame from the at least one video capture device positioned to capture interaction activity of customers;
• determining a first inference based on the first video frame;
• determining a second inference based on the second video frame;
• associating the first inference and the second inference based on determining that the first inference and the second inference correspond to a common time period and common location;
• and
• triggering an event based on associating the first inference and the second inference.

A non-transitory computer-readable device having instructions thereon that, when executed by at least one computing device, causes the at least one computing device to perform operations comprising:

• receiving a first video frame from a first video capture device positioned to capture activity at a location within a monitored area;
• receiving a second video frame from a second video capture device positioned to capture interaction activity of customers;
• determining a first inference based on the first video frame;
• determining a second inference based on the second video frame;
• associating the first inference and the second inference based on determining that the first inference and the second inference correspond to a common time period and common location;
• and
• triggering an event based on associating the first inference and the second inference.