Harmonic Launches Iris 2.0 Analytics Software

Iris 2.0 is the newest version of Harmonic’s video quality monitoring and analytics software suite. It features an enhanced graphical user interface and easy integration with several monitoring solutions. The suite is an intuitive Web-based graphical user interface that offers not only real time data but can store these for up to one year.

The gathered and stored recordings can be used for post-analytics and reporting which, in turn, translates into a more streamlined source of data that can be used for analyzing and programming. Working hand-in-hand with Harmonic NMX Digital Service Manager, Harmonica Electra and Ion encoders, all the data are gathered and interpreted using a mix of charts, reports and dashboards.

The easy to read format allows for service providers can improve their statmux pool balancing, bit rate allocation and homogeneity of their videos while still keeping track of their sources and programming over time. As a result, the improved quality of the videos and the detailed reporting stands a better chance of meeting customer expectations.

The Iris 2.0 can basically handle any type of codec or format which roughly translates into a more cost-effective software suite as it drastically cuts down on expenses for broadcast, cable and satellite operators. Operators and service providers are better able to assess and fortify their work as the software suite collects video quality information at the encoder level.

The goal of the whole program is to not only improve the video quality of the data gathered but also the network in which it traverses. It is important to maintain cost-efficiency in the midst of expanding channels along with the improvement of bandwidth utilization. Decision-making for operators becomes easier as they can clearly ascertain which bandwidth and channels are best suited for each network. Overall, customer or viewer satisfaction is maintained with the improved quality of the video for each channel.

Would you be willing to move from premise-based security VTRs to cloud-based systems? 

Article Topics

biometrics  |  cctv  |  iris recognition  |  security  |  surveillance  |  web services