An imaging system capture images of products on shelves in a minimally invasive way. The images can be processed to assess restocking needs and other information. The imaging system includes multiple shelf-mountable imaging devices that can be positioned throughout one or more retail locations. Certain types of imaging devices may be self-contained units having replaceable or rechargeable internal power sources and/or wireless communication interfaces. Certain types of imaging device are configured to take images only when the field of view is not blocked by traffic (e.g., consumers, employees, etc.). Certain types of imaging devices are low-profile and/or are camouflageable to enhance the user experience.

An imaging system capture images of products on shelves in a minimally invasive way. The images can be processed to assess restocking needs and other information. The imaging system includes multiple shelf-mountable imaging devices that can be positioned throughout one or more retail locations. Certain types of imaging devices may be self-contained units having replaceable or rechargeable internal power sources and/or wireless communication interfaces. Certain types of imaging device are configured to take images only when the field of view is not blocked by traffic (e.g., consumers, employees, etc.). Certain types of imaging devices are low-profile and/or are camouflageable to enhance the user experience.

An imaging system capture images of products on shelves in a minimally invasive way. The images can be processed to assess restocking needs and other information. The imaging system includes multiple shelf-mountable imaging devices that can be positioned throughout one or more retail locations. Certain types of imaging devices may be self-contained units having replaceable or rechargeable internal power sources and/or wireless communication interfaces. Certain types of imaging device are configured to take images only when the field of view is not blocked by traffic (e.g., consumers, employees, etc.). Certain types of imaging devices are low-profile and/or are camouflageable to enhance the user experience.

A cubby unit includes a plurality of cubbies and a thermal management system. Each of the plurality of cubbies includes a cubby housing defining an internal compartment. The thermal management system is configured to facilitate thermally regulating at least one of (i) a food product selectively received within the internal compartment of at least one of the plurality of cubbies or (ii) the internal compartment of the at least one of the plurality of cubbies.

A cubby unit includes a plurality of cubbies and a thermal management system. Each of the plurality of cubbies includes a cubby housing defining an internal compartment. The thermal management system is configured to facilitate thermally regulating at least one of (i) a food product selectively received within the internal compartment of at least one of the plurality of cubbies or (ii) the internal compartment of the at least one of the plurality of cubbies.

A shelving assembly is provided for a container. The shelving assembly includes a first shelf movably positioned in the container and configured to support a first stock. The shelving assembly further includes a plurality of first support members configured to support the first shelf and displace the first shelf between a first position and a second position in the container based on a weight sensed by at least one first weight sensor to maintain the first stock at an opening of the container. Additionally, the shelving assembly includes a second shelf positioned adjacent within the container and configured to support a second stock. The first shelf is configured to be removed at the second position to facilitate the first stock descending onto the second stock on the second shelf. Accordingly, the shelving assembly facilitates first in first out stock rotation.

A shelving assembly is provided for a container. The shelving assembly includes a first shelf movably positioned in the container and configured to support a first stock. The shelving assembly further includes a plurality of first support members configured to support the first shelf and displace the first shelf between a first position and a second position in the container based on a weight sensed by at least one first weight sensor to maintain the first stock at an opening of the container. Additionally, the shelving assembly includes a second shelf positioned adjacent within the container and configured to support a second stock. The first shelf is configured to be removed at the second position to facilitate the first stock descending onto the second stock on the second shelf. Accordingly, the shelving assembly facilitates first in first out stock rotation.

Systems and techniques are provided for determining an improved camera coverage plan including a number, a placement, and a pose of cameras that are arranged to track puts and takes of items by subjects in a three-dimensional real space. The method includes receiving an initial camera coverage plan including a three-dimensional map of a real space, an initial number and initial pose of a plurality of cameras and a camera model including characteristics of the cameras. The method can iteratively apply a machine learning process to an objective function of number and poses of cameras, and subject to a set of constraints, obtain an improved camera coverage plan. The improved camera coverage plan is provided to an installer to arrange cameras to track puts and takes of items by subjects in the three-dimensional real space.

Systems and techniques are provided for determining an improved camera coverage plan including a number, a placement, and a pose of cameras that are arranged to track puts and takes of items by subjects in a three-dimensional real space. The method includes receiving an initial camera coverage plan including a three-dimensional map of a real space, an initial number and initial pose of a plurality of cameras and a camera model including characteristics of the cameras. The method can iteratively apply a machine learning process to an objective function of number and poses of cameras, and subject to a set of constraints, obtain an improved camera coverage plan. The improved camera coverage plan is provided to an installer to arrange cameras to track puts and takes of items by subjects in the three-dimensional real space.

Disclosed is a system for real-time measurement of inventory on shelves. The system uses light sensors placed in association with the inventory and the shelves to measure in real-time the removal/replacement of inventory from the shelves. When inventory is on the shelves, less light reaches the light sensors. As inventory is removed from shelves, the light sensors receive more light. The difference in light received generates as signal that can be measured, thereby allowing for determining inventory levels on each shelf. The system may be retro-fitted to existing shelving systems, thereby avoiding the cost of purchasing new shelving systems. The system can work on any shelving system, including gravity-feed roller shelf (GRS), flat shelves, and spring loaded pusher shelves, and is unaffected by usual temperatures found in retail establishments and can thus work in both refrigerated and unrefrigerated systems. Also disclosed are related methods.