Abstract: A system for anomaly detection in a self-checkout environment, comprising a processing unit for receiving transaction data from a self-checkout terminal: characterising an activity based on a set of features extracted from the received transaction data; defining a plurality of active intervals for each characterised activity; determining a meta-feature vector for each defined active interval of the plurality of active intervals; comparing each meta feature vector with a predefined set of vectors; and determining an anomaly based on the comparison.

Abstract: A method and apparatus for the identification of suspect behaviour in a retail environment, the method comprising: detecting a person in a frame of said stream of video data; extracting a set of activities of the identified person from the stream of video data; assigning a numeric value to each extracted activity in the set of extracted activities, said numeric value representative of a threat level of the activity; accumulating said numeric values to provide a behaviour score; and identifying a behaviour as being suspect when the behaviour score reaches a target threshold value associated with the behaviour.

Abstract: A system and a method for navigating an aerial robotic device movable within an aerial movement volume are provided. The method comprises generating a global environment map of the aerial movement volume, and detecting static obstacles therefrom. The method further comprises generating a depth map detailing presence or absence of objects with reference to a current location of the aerial robotic device, and detecting dynamic obstacles therefrom. The method further comprises re-scaling the depth map to correspond to the global environment map of the aerial movement volume, and tracing a route for the aerial robotic device from the current location to the target location avoiding the one or more static obstacles and the one or more dynamic obstacles. The method further comprises navigating the aerial robotic device based on the traced route to enable the aerial robotic device from the current location to the target location.

Abstract: A system for process shaping in a retail store environment comprises a video generation and processing component, a data source integration and aggregation component for aggregating and integrate information received from various sources, a process sensing component for generating one or more continuous processes, a process aggregator and weighing component for aggregating the one or more continuous processes into a merged weighted process, a proof of problem and value component for determining one or more process variations, a ripple effect analyser for sending one or more nudging messages to the retail store environment, and a gamified feedback algorithm component for communicating a nudging action corresponding to a nudging message, to one or more entities in the retail store environment.

Abstract: A system for navigating an aerial robotic device (ARD) from a first to a second location includes an object detection module for detecting and generating a first object record of a non-stationary object, an object tracking module for receiving second object records, and comparing the first object record with each second object record, which includes determining whether a distance between centers of bounding boxes of the first and second object records is less than a pre-defined threshold value, identifying the first object record to be a match with the second object record, and updating the second object record with details of the first object record, when the calculated distance is less than the pre-defined threshold, updating a prediction list of a second object record with predicted future locations of corresponding object,and navigating the ARD in the presence of a non-stationary object based on prediction list of corresponding second object record.

Abstract: A system for navigating an aerial robotic device (ARD) from a first location to a second location in an aerial movement volume includes an object detection module configured to detect a first non-stationary object in the aerial movement volume, an object tracking module configured to compare update a sequentially ordered tracking list of one or more previous trajectory points of a second non-stationary object with the location of the first non-stationary object, a trajectory prediction module configured to use the tracking list to calculate a pre-defined number N of predicted next trajectory points of a first non-stationary object, each of said predicted next trajectory points being equally spaced by a time interval of ?t; and a collision avoidance module configured to adapt a pre-defined navigation trajectory of the ARD to avoid collision of the ARD with the first non-stationary object during a forecasted period of N×?t.

Abstract: A system for navigating an aerial robotic device (ARD) includes an object detection module for detecting a non-stationary object in aerial movement volume, an object tracking module for adding location of the non-stationary object from a first object record to a first position of a tracking list of a substantially matching second object record a trajectory prediction module for updating a prediction list of the substantially matching second object record with one or more next trajectory points predicted over a predefined time period T, including determining an acceleration vector of the object in a next sample based on magnitude of current longitudinal and normal components of acceleration vector, and a phase of the velocity vector in next sample; and predicting a trajectory point of corresponding object in next sample accordingly, and a collision avoidance module for navigating the ARD in presence of a non-stationary object based on the updated prediction list.

Abstract: A system for anomaly detection in a self-checkout environment, comprising a processing unit for receiving transaction data from a self-checkout terminal: characterising an activity based on a set of features extracted from the received transaction data; defining a plurality of active intervals for each characterised activity; determining a meta-feature vector for each defined active interval of the plurality of active intervals; comparing each meta feature vector with a predefined set of vectors; and determining an anomaly based on the comparison.

Abstract: An enhanced service system comprises a pair of first wires between a first position proximal to an entry point of a drive through facility and a second position proximal to a receiving window in the drive through facility, and an aerial host unit coupled to the pair of first wires using a pair of first and second host wires. The aerial host unit is longitudinally movable between the first position and the second position and includes an aerial host member moveably supported by the first and second host wires to move laterally between the pair of first wires to approach an incoming customer vehicle, facilitate the customer to place an order, receive payment from the customer, and direct the customer to the receiving window where the aerial host member retrieves the items corresponding to the placed order from the receiving window and transfers the retrieved items to the customer.

Abstract: A contactless drive through facility includes a set of parking bays aligned substantially in parallel, wherein each parking bay is dimensioned to accommodate a customer vehicle therein. The drive through facility further includes first and second overhead wires traversing the set of parking bays, wherein the first and second overhead wires are spaced apart from each other. The drive through facility further includes a set of order processing units moveably suspended from the first overhead wire and a carrier member moveably suspended from the second overhead wire. The drive through facility further includes an order management system to operate each order processing unit for facilitating an order placing process and a payment process by corresponding customer vehicle. The order management system also operates the carrier member for moving a set of delivery containers fulfilling corresponding ones of one or more orders placed using the set of order processing units.

Abstract: A navigation control system for an aerial robotic device suspended from a carrier device in an aerial movement volume of an aerial module. The navigation control system is configured to detect one or more stationary obstacles located in corresponding Aerial Movement Volume, create a 3D map representing the Aerial Movement Volume together with one or more bounding boxes enclosing each stationary obstacle in the Aerial Movement Volume, use an optimisation algorithm to compute an optimal route for the aerial robotic device, determine control parameters for a plurality of electric stepper motors driving the carrier device and the aerial robotic device based on the computed optimal route for the aerial robotic device, and navigate the aerial robotic device in accordance with the computed optimal route to enable the aerial robotic device to reach the required destination while avoiding intervening stationary obstacles.

Abstract: An enhanced service system comprises a pair of first wires between a first position proximal to an entry point of a drive through facility and a second position proximal to a receiving window in the drive through facility, and an aerial host unit coupled to the pair of first wires using a pair of first and second host wires. The aerial host unit is longitudinally movable between the first position and the second position and includes an aerial host member moveably supported by the first and second host wires to move laterally between the pair of first wires to approach an incoming customer vehicle, facilitate the customer to place an order, receive payment from the customer, and direct the customer to the receiving window where the aerial host member retrieves the items corresponding to the placed order from the receiving window and transfers the retrieved items to the customer.

Abstract: A system for process shaping in a retail store environment comprises a video generation and processing component, a data source integration and aggregation component for aggregating and integrate information received from various sources, a process sensing component for generating one or more continuous processes, a process aggregator and weighing component for aggregating the one or more continuous processes into a merged weighted process, a proof of problem and value component for determining one or more process variations, a ripple effect analyser for sending one or more nudging messages to the retail store environment, and a gamified feedback algorithm component for communicating a nudging action corresponding to a nudging message, to one or more entities in the retail store environment.

Abstract: A system for process shaping in a retail store environment comprises a video generation and processing component, a data source integration and aggregation component for aggregating and integrate information received from various sources, a process sensing component for generating one or more continuous processes, a process aggregator and weighing component for aggregating the one or more continuous processes into a merged weighted process, a proof of problem and value component for determining one or more process variations, a ripple effect analyser for sending one or more nudging messages to the retail store environment, and a gamified feedback algorithm component for communicating a nudging action corresponding to a nudging message, to one or more entities in the retail store environment.

Abstract: A system for recognizing human activity from a video stream includes a classifier for classifying an image frame of the video steam in one or more classes and generating a class probability vector for the image frame based on the classification. The system further includes a data filtering and binarization module for filtering and binarizing each probability value of the class probability vector based on a pre-defined probability threshold value. The system furthermore includes a compressed word composition module for determining one or more transitions of one or more classes in consecutive image frames of the video stream and generating a sequence of compressed words based on the determined one or more transitions. The system furthermore includes a sequence dependent classifier for extracting one or more user actions by analyzing the sequence of compressed words to and recognizing human activity therefrom.

Abstract: A system for recognizing human activity from a video stream includes a classifier for classifying an image frame of the video steam in one or more classes and generating a class probability vector for the image frame based on the classification. The system further includes a data filtering and binarization module for filtering and binarizing each probability value of the class probability vector based on a pre-defined probability threshold value. The system furthermore includes a compressed word composition module for determining one or more transitions of one or more classes in consecutive image frames of the video stream and generating a sequence of compressed words based on the determined one or more transitions. The system furthermore includes a sequence dependent classifier for extracting one or more user actions by analyzing the sequence of compressed words to and recognizing human activity therefrom.

Abstract: A method for segmenting motion data and inferring layering order in a video includes segmenting a first image frame of the video using intra-frame mode estimation, segmenting further image frames of the video using inter-frame mode matching, generating a label change map for a current segmented image frame by generating a binary map of the current segmented image frame, and then marking one or more pixels whose labels have changed with respect to a previous segmented image frame, detecting one or more non-still image segments of the current segmented image frame, detecting one or more moving image segments in the one or more non-still image segments, estimating motion of the one or more moving image segments, representing each moving segment as a vector of seven parameters, and clustering one or more similar moving segment vectors based on corresponding one or more parameters.

Abstract: A system for process shaping in a retail store environment comprises a video generation and processing component, a data source integration and aggregation component for aggregating and integrate information received from various sources, a process sensing component for generating one or more continuous processes, a process aggregator and weighing component for aggregating the one or more continuous processes into a merged weighted process, a proof of problem and value component for determining one or more process variations, a ripple effect analyser for sending one or more nudging messages to the retail store environment, and a gamified feedback algorithm component for communicating a nudging action corresponding to a nudging message, to one or more entities in the retail store environment.