Abstract: A system and method for mapping location of one or more target data points to a D-dimensional environment are provided. The method includes mapping a sorted array of D-dimensional polygons to a D-dimensional cartesian coordinate system, determining a floor value and a ceiling value of each coordinate point of each target data point, calculating one or more shifted floor value and one or more shifted ceiling value of each coordinate point, combining the shifted floor value and the shifted ceiling value for determining one or more potential centroids, authenticating the potential centroids for determining one or more real centroids by determining the presence of the potential centroid in the array, calculating the distance of the target data point from the real centroids, and determining the polygon having the real centroid with the least distance from the target data point.

Abstract: A method is provided for transposition of a detected object and its tracking from a 3D sensor to a different system in 6 degrees of freedom. The method includes receiving sensing data from the one or more 3D sensors, generating 3D cartesian coordinates of reflections and intensities with respect to the respective 3D sensors, searching, detecting, classifying, segmenting, tracking and forecasting motion of objects in the 3D surrounding keeping the respective 3D sensor as origin, transposing the origin for the coordinates of the searched, detected, classified and tracked object in real time to one or more secondary devices, and providing the real time detection, classification and tracking of the object to a user context application with the one or more secondary devices as origin, without any delay real time covering all 6 Degrees of Freedom.

Abstract: A method is provided for classification of objects by body taper detection. The method includes receiving point cloud data of a plurality of objects from one or more 3D sensors disposed in a space to be monitored, pre-processing the fused point cloud data to search, detect and segment the plurality of objects, each segmented object comprising a set of horizontal layers of interception from the 3D sensor representing the structure of the segmented object, calculating an inference ratio of each segmented object using lengths of respective horizontal layers, distances between set of horizontal layers and a distance of each segmented object from the one or more 3D sensors, checking whether the inference ratio of the segmented object lies on best fit curves pre-generated using a plurality of golden ratios associated with a particular class of objects, and accordingly determining the class of each of the segmented object.

Abstract: A method is provided for detecting proximity between objects using threshold based clustering. The method includes receiving object data of a plurality of objects in a space to be monitored, from one or more data capturing devices disposed in a space, clustering the object data into one or more clusters, based on a predetermined threshold distance, thereby reducing the search space, and processing the one or more clusters using brute force to identify the plurality of objects which lie within the predetermined threshold distance of each other, thereby identifying the plurality of objects that are at risk of collision.

Abstract: A system and method for mapping location of one or more target data points to a D-dimensional environment are provided. The method includes mapping a sorted array of D-dimensional polygons to a D-dimensional cartesian coordinate system, determining a floor value and a ceiling value of each coordinate point of each target data point, calculating one or more shifted floor value and one or more shifted ceiling value of each coordinate point, combining the shifted floor value and the shifted ceiling value for determining one or more potential centroids, authenticating the potential centroids for determining one or more real centroids by determining the presence of the potential centroid in the array, calculating the distance of the target data point from the real centroids, and determining the polygon having the real centroid with the least distance from the target data point.

Abstract: A method is provided for capturing an event of random occurrence and length from a stream of continuous input data. The method includes recording sequential data streams using one or more data capturing devices monitoring a space, each sequential data stream having a predefined duration, creating a first pool of sequential data streams and storing up to a predefined number of sequential data streams at any time in the first pool, receiving an event trigger from one or more sensing devices, indicative of an occurrence of the event, creating a second pool of recorded sequential data streams after receiving the event trigger, by copying sequential data streams from the first pool till a completion of the event plus a predetermined duration post the occurrence of the event, and merging and processing the sequential data streams of the event from the second pool to form a single continuous data stream.

Abstract: A method is provided for transposition of a detected object and its tracking from a 3D sensor to a different system in 6 degrees of freedom. The method includes receiving sensing data from the one or more 3D sensors, generating 3D cartesian coordinates of reflections and intensities with respect to the respective 3D sensors, searching, detecting, classifying, segmenting, tracking and forecasting motion of objects in the 3D surrounding keeping the respective 3D sensor as origin, transposing the origin for the coordinates of the searched, detected, classified and tracked object in real time to one or more secondary devices, and providing the real time detection, classification and tracking of the object to a user context application with the one or more secondary devices as origin, without any delay real time covering all 6 Degrees of Freedom.