Datalogic IP Tech S.r.l.

Alessandro Brunetta

Francesco D'Ercoli

Nicola Alessi

Francesco Paolo Muscaridola

Silvia Marinoni

Giorgio Sanzeni

Filippo Franzoni

Davide Benghi

Paolo Fiorini

Method and device for detecting and classifying a not-known object by a device having a two-dimensional field of view. The method includes a learning step, a detecting step and an inspection step. The learning step includes positioning a first known object in a field of view of the device and then positioning a second known object in the field of view of the device, to obtain images of the first and second known objects. Distinctive characteristics and common characteristics of the objects are identified and used to obtain an equality descriptor relative to common elements of the first and second known objects and a difference descriptor allowing association of the first and second known objects to two distinct classes. The device is then used to detect a third, not-known object. The equality descriptor and the difference descriptor are then used in an inspection step to classify the third not-known object.

Method and device for the detection and classification of an object

A system and method for managing a shared resource in a network including a plurality of nodes including, in response to joining the network, broadcasting, by a node, an identification message to the network, and receiving, by the node, a token data structure including computational data including a threshold total resource consumption value of the plurality of nodes, current resource consumption values of respective nodes, and current utility function values of the respective nodes, the computational data being used by the node to adjust consumption of the shared resource by the node.

Automatic shared resource management system and associated methods

Various embodiments of the invention are implemented for an entry level, compact and lightweight single package apparatus combining a conventional high-resolution two-dimensional (2D) camera with a low-resolution three-dimensional (3D) depth image camera, capable to learn, through depth information, how to improve the performance of a set of 2D identification and machine vision algorithms in terms of speed-up (e.g. through regions of interests (ROIs)) and raw discriminative power. The cameras simultaneously capture images that are processed by an Intelligent Segmentation Engine in the system to facilitate object recognition.

Lightweight 3D vision camera with intelligent segmentation engine for machine vision and auto identification

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Padua, Italy

Alessandro Brunetta