Avigilon Corporation (“Avigilon”), a leading global provider of end-to-end security solutions, today announced the addition of its self-learning video analytics technology to its HD Pro camera series, available in 4K (8 megapixel) and 5K (16 MP) resolutions. An innovative technology, Avigilon’s self-learning video analytics instantly detects and learns the monitored scene upon installation, adapting to changes and movement patterns without complex manual calibration. Avigilon’s 5K (16 MP) HD Pro is the security industry’s highest single-sensor megapixel camera with self-learning video analytics.
The combination of Avigilon’s self-learning analytics with its HD Pro camera series delivers superior perimeter protection and wide-area monitoring with exceptional coverage and clear image detail. All new 4K (8 MP) and 5K (16 MP) HD Pro cameras will ship with self-learning analytics technology as standard.
“Video analytics is decreasing the cost model for monitoring by increasing the productivity of security personnel. The combination of our self-learning analytics technology with our industry-leading HD Pro series can be used to proactively mitigate the impact of incidents in progress, reducing damage and loss,” said Dr. Mahesh Saptharishi, Avigilon’s Chief Technology Officer. “With our innovative technology and comprehensive portfolio of more than 250 patents, Avigilon is the leader in self-learning video analytics.”
Avigilon Self-Learning Video Analytics
Avigilon’s self-learning video analytics solutions provide a high degree of accuracy in object detection and classification thanks to numerous patented technologies, including advanced video pattern detection and teach-by-example technology.
The Avigilon solution identifies people, vehicles or other important moving objects while ignoring insignificant items in a scene, enabling the self-learning video analytics to automatically adjust to changing scene conditions. The system’s performance therefore continually improves over time. In addition, with teach-by-example technology, users have the ability to provide feedback about the accuracy of alarms. This helps further refine the device’s performance and capabilities, which results in increased accuracy in detection, a lower rate of false alarms and a simplified user experience.
HD Pro Camera Series with Self-Learning Video Analytics
The new HD Pro camera series with self-learning video analytics is available in 4K (8 MP) and 5K (16 MP) resolutions, which is the industry’s highest single-sensor megapixel camera with self-learning video analytics. The new series offers wide scene coverage, highly accurate object detection and the ability to zoom in for clear image detail. The image quality of the HD Pro camera series is made possible by Avigilon’s H4 platform, which combines Avigilon’s LightCatcher™ technology for unmatched low-light performance, H.264 compression and the latest edition of its patented High Definition Stream Management (HDSM)™ technology, HDSM 2.0. These technologies enable increased resolution, greater processing power, outstanding image quality and smarter bandwidth and storage management.
Avigilon Control Center 5.6 Software
Intuitive and user-friendly, the Avigilon Control Center (ACC) 5.6 software offers intelligent search capabilities for Avigilon’s portfolio of analytics-enabled HD devices, including the 4K (8 MP) and 5K (16 MP) HD Pro camera series, 1-3 MP HD Dome and HD Bullet camera series and Rialto analytics devices. ACC 5.6 offers fast, accurate and effective intelligent search of recorded footage for classified objects in a monitored scene, enabling remarkably efficient forensic investigation of video.
HD Pro Camera series with Self-Learning Video Analytics Demonstration
The HD Pro camera series with self-learning video analytics and the Avigilon Control Center 5.6 software will be demonstrated at booth 22043 at the 2015 ISC West tradeshow in Las Vegas, NV, USA from April 15 - 17. For more information on product availability, please contact a local sales representative at avigilon.com/sales-locator.