Abstract: The improved system and method disclosed herein includes training an auto-labelling engine in a plurality of iterations until a performance of the auto-labelling engine is satisfactory. The auto-labelling engine is trained based on a combination of a plurality of manually annotated first media and a plurality of second media without annotation. The method further includes receiving at least one media for labelling and using the trained auto-labeling engine to draw at least one bounding box around at least one object in the received at least one media for labelling the at least one object in the at least one media.

Abstract: The disclosure herein relate to an inventory management system and more particularly, to a device for holding and monitoring weight of product(s) in the inventory management system of a store. The device (100) includes a main bracket (102), a load sensor (104), a load transfer member (106) and a holding member (108). The load sensor (104) is connected to the main bracket (102). The load transfer member (106) is connected to the load sensor (104). The holding member (108) is connected to the load transfer member (106). The device (100) is reliable and consumes less space.

Abstract: An improved UAV system and methods for operation in an inventory management system. The methods include generating a three dimensional (3D) map and estimating a position and orientation of the UAV based upon this map; autonomously navigating the UAV in the environment by using the generated 3d map in conjunction with the position and the orientation of the UAV; performing static and dynamic obstacle avoidance in the environment using collision avoidance; and finding the optimal path from a source node to a destination node within the environment.

Abstract: The embodiments herein relate to surveillance of objects and, more particularly, to efficient detection and tracking of objects. A method disclosed herein includes detecting at least one object in the physical store, on receiving media from a plurality of media acquisition devices positioned in the physical store. The method further includes tracking the at least one object in the physical store by projecting input data points of each media acquisition device onto a groundplot, clustering the input data points into a single cluster, and assigning a tracking identifier (ID) to a centroid of the single cluster, wherein the centroid depicts the at least one object.