2017-LU-67843 | |
In 2014, there were an estimated 245 million video surveillance cameras installed globally (HIS Markit). Real-time visual data have many applications. As researchers gain the ability to collect large amounts of visual data about the world, the true potential of data-driven research is recognized. Despite the large amount of publicly available real-time data, there are challenges that inhibit the true potential of analyzing real-time data from these cameras including identifying the cameras either statically or dynamically and identifying camera metadata once identification of individual cameras occurs. Researchers at Purdue University have developed a method for identifying cameras on the internet; particularly, identifying public and closed circuit television cameras and the metadata associated with each in a static or dynamic manner. Examples of uses include monitoring traffic flow, viewing wildlife, detecting intruders or anomalies, and monitoring weather conditions and emergencies. Advantages: -Allows access to existing network of cameras -Collects metadata -Numerous applications Potential Applications: -Security -Weather information -Traffic information -Emergencies -Machine learning algorithm development |
|
|
|
Jul 30, 2019
CON-Patent
United States
10,904,317
Jan 26, 2021
Mar 23, 2017
Utility Patent
United States
10,367,877
Jul 30, 2019
|
|
Purdue Office of Technology Commercialization The Convergence Center 101 Foundry Drive, Suite 2500 West Lafayette, IN 47906 Phone: (765) 588-3475 Fax: (765) 463-3486 Email: otcip@prf.org |