GTC ON-DEMAND

 
SEARCH SESSIONS
SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Presentation
Media
Abstract:

PwC Drone Powered Solutions is a first global center of excellence focusing on fusion of drone technology with other technologies including but not limited to machine learning, photogrammetry and image data processing. Adam Wi?niewski will show examples on how DPS worked with clients from various industries on testing applications and deployment of technologies enabled by drones in their operations. We have developed end-to-end drone powered solutions for capital projects monitoring, infrastructure maintenance, mining operations supervision, environmental protection, insurance claims assessment and many others.

PwC Drone Powered Solutions is a first global center of excellence focusing on fusion of drone technology with other technologies including but not limited to machine learning, photogrammetry and image data processing. Adam Wi?niewski will show examples on how DPS worked with clients from various industries on testing applications and deployment of technologies enabled by drones in their operations. We have developed end-to-end drone powered solutions for capital projects monitoring, infrastructure maintenance, mining operations supervision, environmental protection, insurance claims assessment and many others.

  Back
 
Topics:
Intelligent Machines, IoT & Robotics, HD Mapping, Video & Image Processing
Type:
Talk
Event:
GTC Europe
Year:
2017
Session ID:
23210
Download:
Share:
 
Abstract:
Recent advancements in drone technology and machine learning enabled PwC to enhance automatic analysis of photogrammetric and engineering documentation of a construction site. They trained a deep neural network to automatically identify features in aerial images and output a map of objects in the image such as asphalt, cars, and cement. This solution enhances construction progress monitoring, supports litigation and asset management, and provides a competitive edge with fast, scalable, and very accurate analytics. We'll discuss techniques and the main challenges of turning drone images into value.
Recent advancements in drone technology and machine learning enabled PwC to enhance automatic analysis of photogrammetric and engineering documentation of a construction site. They trained a deep neural network to automatically identify features in aerial images and output a map of objects in the image such as asphalt, cars, and cement. This solution enhances construction progress monitoring, supports litigation and asset management, and provides a competitive edge with fast, scalable, and very accurate analytics. We'll discuss techniques and the main challenges of turning drone images into value.  Back
 
Topics:
Intelligent Video Analytics, Artificial Intelligence and Deep Learning, Intelligent Machines, IoT & Robotics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7533
Download:
Share:
 
 
Previous
  • Amazon Web Services
  • IBM
  • Cisco
  • Dell EMC
  • Hewlett Packard Enterprise
  • Inspur
  • Lenovo
  • SenseTime
  • Supermicro Computers
  • Synnex
  • Autodesk
  • HP
  • Linear Technology
  • MSI Computer Corp.
  • OPTIS
  • PNY
  • SK Hynix
  • vmware
  • Abaco Systems
  • Acceleware Ltd.
  • ASUSTeK COMPUTER INC
  • Cray Inc.
  • Exxact Corporation
  • Flanders - Belgium
  • Google Cloud
  • HTC VIVE
  • Liqid
  • MapD
  • Penguin Computing
  • SAP
  • Sugon
  • Twitter
Next