Discover Network Cameras and Their Metadata
- Summary
- 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.
- Technology Benefits
- Allows access to existing network of cameras Collects metadata Numerous applications
- Technology Application
- Security Weather information Traffic information Emergencies Machine learning algorithm development
- Detailed Technology Description
- Yung-Hsiang LuPurdue Electrical and Computer Engineering
- Countries
- United States
- Application No.
- None
- *Abstract
-
- *Background
- 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.
- *IP Issue Date
- None
- *IP Type
- Provisional
- *Stage of Development
- Prototype testing in economic run
- *Web Links
- Purdue Office of Technology CommercializationPurdue Innovation and EntrepreneurshipYung-Hsiang LuPurdue Electrical and Computer Engineering
- Country/Region
- USA
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