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 automatically generating a planogram for a store includes: dispatching a robotic system to autonomously navigate within the store during a mapping routine; accessing a floor map of the floor space generated by the robotic system from map data collected during the mapping routine; identifying a shelving structure within the map of the floor space; defining a first set of waypoints along an aisle facing the shelving structure; dispatching the robotic system to navigate to and to capture optical data at the set of waypoints during an imaging routine; receiving a set of images generated from optical data recorded by the robotic system during the imaging routine; identifying products and positions of products in the set of images; and generating a planogram of the shelving segment based on products and positions of products identified in the set of images.

Abstract: 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 tracking placement of products in a store includes: accessing an image recorded by a mobile robotic system within a store; detecting a shelf in a region of the image; based on an address of the shelf, retrieving a list of products assigned to the shelf by a planogram of the store; retrieving a set of template images—from a database of template images—defining visual features of products specified in the list of products; extracting a set of features from the region of the image; determining that a unit of the product is mis-stocked on the shelf in response to deviation between the set of features and features in a template image, in the set of template images, representing the product; and in response to determining that the unit of the product is mis-stocked on the shelf, generating a restocking prompt for the product.

Abstract: One variation of a method for tracking placement of products in a store includes: accessing an image depicting a shelving structure in the store; reading a product identifier of a product from a shelf tag detected in the image; accessing a set of template features associated with the product identifier; based on the shelf tag detected in the image, locating a region in the first image depicting a slot on the shelving structure; confirming presence of a unit of the product in the slot in response to detecting features analogous to the set of template features in the region in the image; detecting absence of the product from the slot based on absence of features analogous to the set of template features in the region in the image; and in response to detecting absence of the product from the slot, generating a prompt to restock the slot.

Abstract: One variation of a method for automatically generating waypoints for imaging shelves within a store includes: dispatching a robotic system to autonomously generating a map of a floor space within the store; accessing an architectural metaspace defining target locations and addresses of the set of shelving structures within the store; distorting the architectural metaspace into alignment with the map to generate a normalized metaspace representing real locations and addresses of the set of shelving structures in the store; defining a set of waypoints distributed longitudinally along and offset laterally from a first shelving structure represented in the normalized metaspace based on a known position of an optical sensor in the robotic system; and dispatching the robotic system to record optical data while occupying the set of waypoint optv-mo3 in:#finance s during an imaging routine.

Abstract: One variation of a method for automatically generating waypoints for imaging shelves within a store includes: dispatching a robotic system to autonomously generating a map of a floor space within the store; accessing an architectural metaspace defining target locations and addresses of the set of shelving structures within the store; distorting the architectural metaspace into alignment with the map to generate a normalized metaspace representing real locations and addresses of the set of shelving structures in the store; defining a set of waypoints distributed longitudinally along and offset laterally from a first shelving structure represented in the normalized metaspace based on a known position of an optical sensor in the robotic system; and dispatching the robotic system to record optical data while occupying the set of waypoints during an imaging routine.

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 automatically generating a planogram for a store includes: dispatching a robotic system to autonomously navigate within the store during a mapping routine; accessing a floor map of the floor space generated by the robotic system from map data collected during the mapping routine; identifying a shelving structure within the map of the floor space; defining a first set of waypoints along an aisle facing the shelving structure; dispatching the robotic system to navigate to and to capture optical data at the set of waypoints during an imaging routine; receiving a set of images generated from optical data recorded by the robotic system during the imaging routine; identifying products and positions of products in the set of images; and generating a planogram of the shelving segment based on products and positions of products identified in the set of images.

Abstract: One variation of a method for automatically generating a planogram for a store includes: dispatching a robotic system to autonomously navigate within the store during a mapping routine; accessing a floor map of the floor space generated by the robotic system from map data collected during the mapping routine; identifying a shelving structure within the map of the floor space; defining a first set of waypoints along an aisle facing the shelving structure; dispatching the robotic system to navigate to and to capture optical data at the set of waypoints during an imaging routine; receiving a set of images generated from optical data recorded by the robotic system during the imaging routine; identifying products and positions of products in the set of images; and generating a planogram of the shelving segment based on products and positions of products identified in the set of images.

Abstract: One variation of a method for tracking placement of products in a store includes: accessing an image recorded by a mobile robotic system within a store; detecting a shelf in a region of the image; based on an address of the shelf, retrieving a list of products assigned to the shelf by a planogram of the store; retrieving a set of template images—from a database of template images—defining visual features of products specified in the list of products; extracting a set of features from the region of the image; determining that a unit of the product is mis-stocked on the shelf in response to deviation between the set of features and features in a template image, in the set of template images, representing the product; and in response to determining that the unit of the product is mis-stocked on the shelf, generating a restocking prompt for the product.

Abstract: One variation of a method for automatically generating waypoints for imaging shelves within a store includes: dispatching a robotic system to autonomously generating a map of a floor space within the store; accessing an architectural metaspace defining target locations and addresses of the set of shelving structures within the store; distorting the architectural metaspace into alignment with the map to generate a normalized metaspace representing real locations and addresses of the set of shelving structures in the store; defining a set of waypoints distributed longitudinally along and offset laterally from a first shelving structure represented in the normalized metaspace based on a known position of an optical sensor in the robotic system; and dispatching the robotic system to record optical data while occupying the set of waypoints during an imaging routine.

Abstract: One variation of a method for tracking placement of products in a store includes: accessing an image recorded by a mobile robotic system within a store; detecting a shelf in a region of the image; based on an address of the shelf, retrieving a list of products assigned to the shelf by a planogram of the store; retrieving a set of template images—from a database of template images—defining visual features of products specified in the list of products; extracting a set of features from the region of the image; determining that a unit of the product is mis-stocked on the shelf in response to deviation between the set of features and features in a template image, in the set of template images, representing the product; and in response to determining that the unit of the product is mis-stocked on the shelf, generating a restocking prompt for the product.

Abstract: One variation of a method for automatically generating waypoints for imaging shelves within a store includes: dispatching a robotic system to autonomously generating a map of a floor space within the store; accessing an architectural metaspace defining target locations and addresses of the set of shelving structures within the store; distorting the architectural metaspace into alignment with the map to generate a normalized metaspace representing real locations and addresses of the set of shelving structures in the store; defining a set of waypoints distributed longitudinally along and offset laterally from a first shelving structure represented in the normalized metaspace based on a known position of an optical sensor in the robotic system; and dispatching the robotic system to record optical data while occupying the set of waypoints during an imaging routine.

Abstract: One variation of a method for automatically generating a planogram for a store includes: dispatching a robotic system to autonomously navigate within the store during a mapping routine; accessing a floor map of the floor space generated by the robotic system from map data collected during the mapping routine; identifying a shelving structure within the map of the floor space; defining a first set of waypoints along an aisle facing the shelving structure; dispatching the robotic system to navigate to and to capture optical data at the set of waypoints during an imaging routine; receiving a set of images generated from optical data recorded by the robotic system during the imaging routine; identifying products and positions of products in the set of images; and generating a planogram of the shelving segment based on products and positions of products identified in the set of images.

Abstract: One variation of a method for automatically generating waypoints for imaging shelves within a store includes: dispatching a robotic system to autonomously generating a map of a floor space within the store; accessing an architectural metaspace defining target locations and addresses of the set of shelving structures within the store; distorting the architectural metaspace into alignment with the map to generate a normalized metaspace representing real locations and addresses of the set of shelving structures in the store; defining a set of waypoints distributed longitudinally along and offset laterally from a first shelving structure represented in the normalized metaspace based on a known position of an optical sensor in the robotic system; and dispatching the robotic system to record optical data while occupying the set of waypoints during an imaging routine.

Abstract: One variation of a method for tracking placement of products in a store includes: accessing an image recorded by a mobile robotic system within a store; detecting a shelf in a region of the image; based on an address of the shelf, retrieving a list of products assigned to the shelf by a planogram of the store; retrieving a set of template images—from a database of template images—defining visual features of products specified in the list of products; extracting a set of features from the region of the image; determining that a unit of the product is mis-stocked on the shelf in response to deviation between the set of features and features in a template image, in the set of template images, representing the product; and in response to determining that the unit of the product is mis-stocked on the shelf, generating a restocking prompt for the product.

Abstract: A unified firearm and optical sight integrates the mounting of the optical elements directly into a one-piece frame, receiver, or barrel of the firearm. This solves some technical limitations caused by keeping the firearm and the telescopic sight as separate products. Merging the optics into the frame of the firearm reduces the distance between the optical elements and the barrel, which reduces parallax error. Reducing the number of mechanical connections between the optical elements and the barrel improves the rigidity of the connection, which reduces point-of-aim errors from bumps and shocks. Integrating the telescopic sight into the firearm makes for a smaller and smoother package, which makes it possible for the firearm to be carried in a concealed way. This invention applies to all types of firearms, including handguns, pistols, revolvers, rifles, shotguns, NFA firearms, and AOW firearms.

Abstract: Provided is an adaptive device for shaping a laser beam. The adaptive device includes a variable optical configuration. The variable optical configuration includes: an optical element and a temperature element in contact with the optical element. The adaptive device further includes a controller operatively coupled to the temperature element to apply at least one of heating and cooling to the optical element so as to alter a temperature profile of the optical element, thereby causing an optical property change thereof.