The Future of Augmented RealityA conceptual view of how augmented reality may be used in the future.
Although the video depicts the user with a smartphone, in the future it is more likely that the user will be wearing some form of augmented reality eyewear.
Once refined and adapted, augmented reality will play a key role in the way we all interact with the digital world. At the moment, there are a few challenges we face that must be overcome before this is possible…
1. Develop socially acceptable eyewear - something that has the ‘Oakley Effect’ (looks cool)
2. Increase the coverage and speed of our networks in order to sustain the throughput required to send and receive rich and dynamic virtual content
3. Improve storage capacity and reduce battery weight so to accommodate the processing speeds and form factor required
About Hidden Creative –
Complex systems can be very hard to translate into meaningful experiences, but that’s what we do best. We thrive on tackling expansive challenges and have developed the kind of agile structure necessary to deliver intricate solutions in typically short industry timescales.
Working at the cutting edge of technology, we collaborate with brands that are delivering future-shaping innovations on a global scale. By integrating closely with their internal teams, we provide a discreet layer of full service expertise that can be deployed wherever it’s required in the world.
Across our dedicated and passionate team you’ll find a unique combination of digital expertise and personal service that ensures we always go the extra mile to meet your goals.
+44 0161 236 8181
Privacy visor glasses jam facial recognition systems to protect your privacy #DigInfoPrivacy visor glasses jam facial recognition systems to protect your privacy
14/6/2013 NII Open House 2013
National Institute of Informatics
DigInfo TV - http://www.diginfo.tv
Real Time Object Recognition using SURF and OpenCV EEL6562Real Time Object Recognition using SURF and OpenCV EEL6562
Find the code, report, and presentation at:
Object Detection and Recogitionhttp://www.willowgarage.com/blog/2010/09/20/scalable-object-recognition
SentiVeillance / VeriLook Surveillance biometric face recognition technology demonstrationAutomated surveillance systems can use SentiVeillance (known previously as VeriLook Surveillance) for biometric face recognition in live video streams.
The possible uses can be security, law enforcement, visitors counting, attendance control.
Some applications may require to enroll the users in advance (such as list of employees or watch-list of unwanted persons or suspect criminals), whereas other just work on the general public passing by.
Also can be used to detect if passers-by draw attention to certain ads or billboards.
The SDK allows to create networked applications and systems on Windows and Linux platforms.
9. Constraints: Visual Object RecognitionMIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston
We consider how object recognition has evolved over the past 30 years. In alignment theory, 2-D projections are used to determine whether an additional picture is of the same object. To recognize faces, we use intermediate-sized features and correlation.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Lane tracking and vehicle tracking (rainy day)http://marcosnietoblog.wordpress.com/
Lane tracking for Lane Departure Warning Systems (LDWS) and vehicle detection and tracking for Safety Distance System (SDS)
Curved Lane DetectionCurved Lane Detection using OpenCV
This algorithm not only detects lanes, curves as well as straight, but also predict the direction of upcoming curves.
It was developed by Chanhee Jang, Yeongji Park, and Jiye Yun, under the supervision of Prof. Young-keun Kim, for a final project for Mechatronics Capstone Design ll @ Handong University. (2014.12.20)
Original footage is taken by Hagseo Park and can be found in following link: http://www.youtube.com/watch?v=T6c0o7iR2u4
RIVA IP Cameras - People Counting SupermarketRIVA IP Cameras with integrated video analytics
Deep Green & Augmented Reality PoolThe RCVLab at Queen's University demonstrates Deep Green, a pool playing robot, and ARPool, an augmented reality system for teaching the science of pool.
Natural Vision: Wild flower recognition appAn app that lets you take a picture of a wild flower and use image recognition to tell you which species you're looking at.
For more information, send an email to email@example.com