International Business Machines Corporation

Mahmood Saajan Ashek

Mudhakar Srivatsa

Sarbajit Kumar Rakshit

Eric Vance Kline

Raghu Kiran Ganti

Vincenzo V Di Luoffo

Swati Rallapalli

Shreeranjani Srirangamsridharan

Mohammad Siddiqui

Mojdeh Sayari Nejad

Michael J Giancola

Yusuf Mai

Asif Sharif

Justin Gilbert

Ramey Ghabros

Garnet Miller

Nidal Qwasmi

Somesh Jha

Shehzad Noor Taus Priyo

Pixel image data of a scene is received in which the pixel image data includes a two-dimensional representation of an object in the scene. Point cloud data including three-dimensional point coordinates of a physical object within the scene corresponding to the two-dimensional representation of the object is received. The three-dimensional point coordinates include depth information of the physical object. The point cloud data is mapped to an image plane of the pixel image data to form integrated pixel image data wherein one or more pixels of the pixel image data have depth information integrated therewith. A three-dimensional bounding box is predicted for the object using a convolutional neural network based upon the integrated pixel image data.

Three-dimensional object localization for obstacle avoidance using one-shot convolutional neural network

A method and system for extracting information from a drawing. The method includes classifying nodes in the drawing, extracting attributes from the nodes, determining whether there are errors in the node attributes, and removing the nodes from the drawing. The method also includes identifying edges in the drawing, extracting attributes from the edges, and determining whether there are errors in the edge attributes. The system includes at least one processing component, at least one memory component, an identification component, an extraction component, and a correction component. The identification component is configured to classify nodes in the drawing, remove the nodes from the drawing, and identify edges in the drawing. The extraction component is configured to extract attributes from the nodes and edges. The correction component is configured to determine whether there are errors in the extracted attributes.

Extracting and analyzing information from engineering drawings

A livestock development gauging system is provided. The livestock development gauging system includes a pen, an imaging device and a processing system. The pen defines a livestock containment area. The imaging device is suspended proximate to the livestock containment area and configured to generate images of livestock in the livestock containment area. The processing system is configured to determine a livestock health measurement of the livestock based on an analysis of the images of the livestock.

Overhead camera system to gauge livestock development

Growing community of inventors

Markham, Canada

Mahmood Saajan Ashek