A modular inventory management system is disclosed herein that includes a bin module. The bin module may include a module base, a sensor configuration, and a divider. The module base may have a first lateral edge, a second lateral edge, and a top surface that connects the first lateral edge to the second lateral edge. The sensor configuration may be arranged on the module base between the first lateral edge and the second lateral edge. The sensor configuration may include a plurality of sensor elements that are arranged in a single row on a center axis of the module base and configured to sense whether one or more objects are positioned on the top surface of the module base. The divider may be situated at the first lateral edge and may be configured to slide laterally with respect to the module base to adjust a width of the bin module.

A retail merchandise pusher with a remote alarm feature is provided. The pusher includes a housing and an adaptor. The adaptor is removably coupled to the housing and slidably coupled to a track. The pusher including a shaft rotatable about its axis in a first and second direction and a gear wheel coupled to the shaft. The rotation of the gear wheel causing a first electrical contact to engage with a second electrical contact, such that the distance that the pusher moves along the track can be measured by totaling the number of times the first electrical contact engages with the second electrical contact.

Methods and apparatuses are provided for use in monitoring product placement within a shopping facility. Some embodiments provide an apparatus configured to determine product placement conditions within a shopping facility, comprising: a transceiver configured to wirelessly receive communications; a product monitoring control circuit coupled with the transceiver; a memory coupled with the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to: obtain a composite three-dimensional (3D) scan mapping corresponding to at least a select area of the shopping facility and based on a series of 3D scan data; evaluate the 3D scan mapping to identify multiple product depth distances; and identify, from the evaluation of the 3D scan mapping, when one or more of the multiple product depth distances is greater than a predefined depth distance threshold from the reference offset distance of the product support structure.

Sensor-equipped display management systems and methods that may be used to calculate a number of products removed from a display management system based upon motion of one or more mechanisms within the display management system. Additionally, the systems and methods may be used to detect patterns from the sensor data, which may be indicative of attempted theft of products stored within the display management system.

The disclosed electronic smart mat includes a planar surface configured to receive a mobile electronic container configured to store one or more medications, an antenna configured to wirelessly communicate with the mobile electronic container when the mobile electronic container is received over the surface, a communication module configured to communicate with a server, and a processor. The processor is configured to determine a medication content of the mobile electronic container responsive to the mobile electronic container being received over the surface, receive patient data associated with a patient responsive to placement of a mobile computing device associated with the patient over the surface of the electronic mat, and provide, to the server using the communication module, the patient data, and updated medication inventory based on the determined medication content of the mobile electronic container. The electronic mat may form a bottom surface of an enclosure within a dispensing machine.

The present invention provides a function capable of detecting, with a higher degree of precision, a region that has a high probability of not having been recognized. An image processing apparatus according to the present invention is provided with: a recognition means for recognizing a product from a captured image obtained by capturing an image of a displayed product; and a detection means for detecting a region of a product that is included in the captured image but is not recognized by the recognition means, on the basis of furniture information related to furniture in which the product is displayed.

A retail merchandise pusher with a remote alarm feature is provided. The pusher includes a housing and an adaptor. The adaptor is removably coupled to the housing and slidably coupled to a track. The pusher including a shaft rotatable about its axis in a first and second direction and a gear wheel coupled to the shaft. The rotation of the gear wheel causing a first electrical contact to engage with a second electrical contact, such that the distance that the pusher moves along the track can be measured by totaling the number of times the first electrical contact engages with the second electrical contact.

A retail merchandise pusher is configured for sliding along a pusher assembly track. The pusher assembly is mountable to a retail merchandise shelf. The pusher includes a housing, a spring drum rotatably mounted within the housing, and a coil spring mounted to the spring drum. The coil spring is coilable and uncoilable upon rotation of the spring drum. A controller is coupled to a sensor arrangement within the housing. The sensor arrangement has a spring drum sensor for detecting rotation of the spring drum. A direction sensor detects a direction of rotation of the spring drum. An incremental distance sensor detects incremental movement of the pusher. The controller is configured to calculate, based on data from the sensor arrangement, a total distance and direction of travel by the pusher, and to generate an alarm when the pusher travels more than a threshold distance within a predetermined period of time.

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.