Abstract: One variation of a method for stock keeping in a store includes: accessing an image captured by a fixed camera within the store; retrieving a field of view of the fixed camera; estimating a segment of an inventory structure in the store depicted in the image based on a projection of the field of view onto a planogram of the store; identifying a set of slots within the inventory structure segment; retrieving a product model representing a set of visual characteristics of a product type assigned to a slot, in the set of slots, by the planogram; extracting a constellation of features from the image; if the constellation of features approximates the set of visual characteristics in the product model, detecting presence of a product unit of the product type occupying the inventory structure segment; and representing presence of the product unit, occupying the inventory structure segment, in a realogram.

Abstract: One variation of a method for detecting and responding to hazards within a store includes: autonomously navigating toward an area of a floor of the store; recording a thermal image of the area; recording a depth map of the area of the floor; detecting a thermal gradient in the thermal image; scanning a region of the depth map, corresponding to the thermal gradient detected in the thermal image, for a height gradient; in response to detecting the thermal gradient in the thermal image and in response to detecting absence of a height gradient in the region of the depth map, predicting presence of a fluid within the area of the floor; and serving a prompt to remove the fluid from the area of the floor of the store to a computing device affiliated with the store.

Abstract: One variation of a method for tracking fresh produce in a store includes: accessing a first hyper-spectral image, of a produce display in a store, recorded at a first time; extracting a first spectral profile from a first region of the first hyper-spectral image depicting a first set of produce units in the produce display; identifying a first varietal of the first set of produce units; characterizing qualities (e.g., ripeness, bruising, spoilage) of the first set of produce units in the produce display based on the first spectral profile; and, in response to qualities of the first set of produce units in the produce display deviating from a target quality range assigned to the first varietal, generating a prompt to audit the first set of produce units in the produce display.

Abstract: One variation of a method for monitoring cooling units in a store includes: at a robotic system, during a first scan routine, autonomously navigating toward a cooling unit in the store, recording a color image of the cooling unit, and scanning a set of temperatures within the cooling unit; identifying a set of products stocked in the cooling unit based on features detected in the color image; mapping the set of temperatures to the set of products at a first time during the first scan routine based on positions of products in the set of products identified in the color image; and generating a record of temperatures of the set of products stocked in the cooling unit at the first time.

Abstract: One variation of a method for detecting and responding to hazards within a store includes: autonomously navigating toward an area of a floor of the store; recording a thermal image of the area; recording a depth map of the area of the floor; detecting a thermal gradient in the thermal image; scanning a region of the depth map, corresponding to the thermal gradient detected in the thermal image, for a height gradient; in response to detecting the thermal gradient in the thermal image and in response to detecting absence of a height gradient in the region of the depth map, predicting presence of a fluid within the area of the floor; and serving a prompt to remove the fluid from the area of the floor of the store to a computing device affiliated with the store.

Abstract: One variation of a method for monitoring cooling units in a store includes: at a robotic system, during a first scan routine, autonomously navigating toward a cooling unit in the store, recording a color image of the cooling unit, and scanning a set of temperatures within the cooling unit; identifying a set of products stocked in the cooling unit based on features detected in the color image; mapping the set of temperatures to the set of products at a first time during the first scan routine based on positions of products in the set of products identified in the color image; and generating a record of temperatures of the set of products stocked in the cooling unit at the first time.

Abstract: One variation of a method for tracking fresh produce in a store includes: accessing a first hyper-spectral image, of a produce display in a store, recorded at a first time; extracting a first spectral profile from a first region of the first hyper-spectral image depicting a first set of produce units in the produce display; identifying a first varietal of the first set of produce units; characterizing qualities (e.g., ripeness, bruising, spoilage) of the first set of produce units in the produce display based on the first spectral profile; and, in response to qualities of the first set of produce units in the produce display deviating from a target quality range assigned to the first varietal, generating a prompt to audit the first set of produce units in the produce display.

Abstract: One variation of a method for detecting and responding to hazards within a store includes: autonomously navigating toward an area of a floor of the store; recording a thermal image of the area; recording a depth map of the area of the floor; detecting a thermal gradient in the thermal image; scanning a region of the depth map, corresponding to the thermal gradient detected in the thermal image, for a height gradient; in response to detecting the thermal gradient in the thermal image and in response to detecting absence of a height gradient in the region of the depth map, predicting presence of a fluid within the area of the floor; and serving a prompt to remove the fluid from the area of the floor of the store to a computing device affiliated with the store.

Abstract: One variation of a method for monitoring cooling units in a store includes: at a robotic system, during a first scan routine, autonomously navigating toward a cooling unit in the store, recording a color image of the cooling unit, and scanning a set of temperatures within the cooling unit; identifying a set of products stocked in the cooling unit based on features detected in the color image; mapping the set of temperatures to the set of products at a first time during the first scan routine based on positions of products in the set of products identified in the color image; and generating a record of temperatures of the set of products stocked in the cooling unit at the first time.

Abstract: One variation of a method for tracking stock level within a store includes: at a robotic system, navigating along a first inventory structure in the store, broadcasting radio frequency interrogation signals according to a first set of wireless scan parameters, and recording a first set of wireless identification signals returned by radio frequency identification tags coupled to product units arranged on the first inventory structure; generating a first list of product units arranged on the first inventory structure based on the first set of wireless identification signals; detecting a first product quantity difference between the first list of product units and a first target stock list assigned to the first inventory structure by a planogram of the store; and generating a stock correction prompt for the first inventory structure in response to the first product quantity difference.

Abstract: A method, a system, and a server provide context aware multiple-input-multiple-output MIMO antenna systems and methods. Specifically, the systems and methods provide, in a multiple MIMO antenna or node system, techniques of antenna/beam selection, calibration, and periodic refresh, based on environmental and mission context. The systems and methods can define a context vector as built by cooperative use of the nodes on the backhaul to direct antennas for the best user experience as well as mechanisms using the context vector in a 3D employment to point the antennas in a cooperative basis therebetween. The systems and methods utilize sensors in the nodes to provide tailored context sensing versus motion sensing, in conjunction with BER (Bit Error Rate) measurements on test signals to position an antenna beam from a selection of several “independent” antenna subsystems operating within a single node, as well as, that of its optically connected neighbor.

Abstract: A method, a system, and a server provide context aware multiple-input-multiple-output MIMO antenna systems and methods. Specifically, the systems and methods provide, in a multiple MIMO antenna or node system, techniques of antenna/beam selection, calibration, and periodic refresh, based on environmental and mission context. The systems and methods can define a context vector as built by cooperative use of the nodes on the backhaul to direct antennas for the best user experience as well as mechanisms using the context vector in a 3D employment to point the antennas in a cooperative basis therebetween. The systems and methods utilize sensors in the nodes to provide tailored context sensing versus motion sensing, in conjunction with BER (Bit Error Rate) measurements on test signals to position an antenna beam from a selection of several “independent” antenna subsystems operating within a single node, as well as, that of its optically connected neighbor.

Abstract: A method, a system, and a server provide context aware multiple-input-multiple-output MIMO antenna systems and methods. Specifically, the systems and methods provide, in a multiple MIMO antenna or node system, techniques of antenna/beam selection, calibration, and periodic refresh, based on environmental and mission context. The systems and methods can define a context vector as built by cooperative use of the nodes on the backhaul to direct antennas for the best user experience as well as mechanisms using the context vector in a 3D employment to point the antennas in a cooperative basis therebetween. The systems and methods utilize sensors in the nodes to provide tailored context sensing versus motion sensing, in conjunction with BER (Bit Error Rate) measurements on test signals to position an antenna beam from a selection of several “independent” antenna subsystems operating within a single node, as well as, that of its optically connected neighbor.

Abstract: A method, a system, and a server provide context aware multiple-input-multiple-output MIMO antenna systems and methods. Specifically, the systems and methods provide, in a multiple MIMO antenna or node system, techniques of antenna/beam selection, calibration, and periodic refresh, based on environmental and mission context. The systems and methods can define a context vector as built by cooperative use of the nodes on the backhaul to direct antennas for the best user experience as well as mechanisms using the context vector in a 3D employment to point the antennas in a cooperative basis therebetween. The systems and methods utilize sensors in the nodes to provide tailored context sensing versus motion sensing, in conjunction with BER (Bit Error Rate) measurements on test signals to position an antenna beam from a selection of several “independent” antenna subsystems operating within a single node, as well as, that of its optically connected neighbor.

Abstract: A method, a system, and a server provide context aware multiple-input-multiple-output MIMO antenna systems and methods. Specifically, the systems and methods provide, in a multiple MIMO antenna or node system, techniques of antenna/beam selection, calibration, and periodic refresh, based on environmental and mission context. The systems and methods can define a context vector as built by cooperative use of the nodes on the backhaul to direct antennas for the best user experience as well as mechanisms using the context vector in a 3D employment to point the antennas in a cooperative basis therebetween. The systems and methods utilize sensors in the nodes to provide tailored context sensing versus motion sensing, in conjunction with BER (Bit Error Rate) measurements on test signals to position an antenna beam from a selection of several “independent” antenna subsystems operating within a single node, as well as, that of its optically connected neighbor.