Battery-free 'smart' cameras can find their own position

Image
Press Trust of India Washington
Last Updated : Sep 13 2015 | 3:32 PM IST
Scientists have shown that a network of energy-harvesting sensor nodes equipped with onboard cameras can determine each camera's pose and location using optical cues, an advance that could be used in home security and infrastructure monitoring.
This capability could help to enable networks of hundreds or thousands of sensors that could operate without batteries or external power and require minimal maintenance.
Such networks could be part of the Internet of Things (IoT) in which objects can communicate and share information to create smart environments.
Previous work at University of Washington has produced battery-free Radio-frequency identification (RFID) tags called WISPs with enhanced capabilities such as onboard computation, sensing, and image capture capabilities.
WISPs operate at such low power that they can scavenge the energy needed for operation from radio waves.
The new work shows that these WISPs with onboard cameras, or WISPCams, can use optical cues to figure out where they are located and the direction in which they are pointed.
The ability of each node to determine its own location makes deployment of autonomous sensor nodes easier and the sensor data they produce more meaningful.
"Once the battery free cameras know their own positions it is possible to query the network of WISPCams for high level information such as all images looking west or sensor data from all nodes in a particular area," said Alanson P Sample, a research scientist with Disney Research.
Future iterations of this RFID-based sensing technology has the potential to enable low cost and maintenance-free IoT applications by eliminating the need for external wiring or regular battery replacement.
Networks of hundreds or thousands of these sensors could be used to monitor the condition of infrastructure such as bridges, industrial equipment monitoring, and home security monitoring, researchers said.
The researchers used an image processing technique called Perspective-n-Point (PnP) which involves capturing an image of an object and then comparing it with a second image in which four LEDs in a known configuration illuminate the object.
Using this technique, the cameras were able to estimate their position to within a few centimetres.
In their experimental setup, the researchers used four WISPCams and a separate WISP with LEDs, but Sample noted that the LEDs could be incorporated into each WISPCam.
*Subscribe to Business Standard digital and get complimentary access to The New York Times

Smart Quarterly

₹900

3 Months

₹300/Month

SAVE 25%

Smart Essential

₹2,700

1 Year

₹225/Month

SAVE 46%
*Complimentary New York Times access for the 2nd year will be given after 12 months

Super Saver

₹3,900

2 Years

₹162/Month

Subscribe

Renews automatically, cancel anytime

Here’s what’s included in our digital subscription plans

Exclusive premium stories online

  • Over 30 premium stories daily, handpicked by our editors

Complimentary Access to The New York Times

  • News, Games, Cooking, Audio, Wirecutter & The Athletic

Business Standard Epaper

  • Digital replica of our daily newspaper — with options to read, save, and share

Curated Newsletters

  • Insights on markets, finance, politics, tech, and more delivered to your inbox

Market Analysis & Investment Insights

  • In-depth market analysis & insights with access to The Smart Investor

Archives

  • Repository of articles and publications dating back to 1997

Ad-free Reading

  • Uninterrupted reading experience with no advertisements

Seamless Access Across All Devices

  • Access Business Standard across devices — mobile, tablet, or PC, via web or app

More From This Section

First Published: Sep 13 2015 | 3:32 PM IST

Next Story