At BroadcastAsia 2019, global digital media solutions provider, Interra Systems will demonstrate its cutting-edge content quality control (QC), monitoring, and classification solutions for the media industry.
Interra Systems’ solutions can be deployed in the cloud, on-premises, or a combination of both. Designed to simplify content management, improve efficiencies, and provide seamless audio-video quality on every device, these solutions allow content creators and distributors to respond to the increase of video streaming through a pragmatic approach that is best suited for their organization. Widely adopted by broadcast, cable, telco, satellite, IPTV, OTT, and post-production markets around the world, Interra Systems’ products enable better quality video, reduced exposure to regulatory issues, and higher customer satisfaction. Featuring AI- and machine learning-enabled algorithms, along with a flexible, software-defined architecture, the company’s solutions support a variety of deployment scenarios, including the cloud, for higher performance, scalability, and efficiency.
The company’s BATON ABR QC and ORION-OTT monitoring solutions set the industry benchmark for delivering high-quality streaming video. BATON ABR and ORION-OTT perform deep QC checks and monitor VOD and live content from ingest to distribution points. By carrying out exhaustive checks at pre- and post-transcode stages, along with comprehensive, delivery-specific checks and monitoring, this powerful solution assures exceptional QoE for every stream on every device.
As video streaming consumption continues to grow, OTT-specific monitoring solutions become even more critical. Interra Systems’ ORION-OTT can monitor many streams for ABR compliance along with audio-video quality checks in real time. The high-performance solution suite also supports closed captions, ad verification/compliance, and DRMs on both Windows and Linux operating systems.
Providing an aggregated view and status collected by ORION and ORION-OTT monitoring points, ORION Central Manager gives unprecedented visibility and power for proactive monitoring. It offers a real-time view of linear and OTT services, alerts, and QoE information for each video, ensuring fast and efficient resolution of issues.
When complemented by the company’s BATON for QC and ORION for 24/7 linear workflow monitoring, BATON ABR and ORION-OTT product suites provide broadcasters with a total solution for streaming superior quality services.
Interra Systems’ new WINNOW solution, which is powered by advanced AI and machine learning (ML) technologies, will be highlighted at BroadcastAsia. WINNOW can detect and tag specific scenes and images, such as violence and strong language, according to user-defined rules. WINNOW helps video service providers streamline their content for target markets across different geographies. It can be used with Interra Systems’ BATON, an automated QC product, and supports deployment on both cloud and on-premises environments.
The latest version of BATON supports integration with WINNOW, the company’s new system for content compliance, classification, and identification. New features include REST API support for test plans, tasks and reports, video compression scores, HDR quality checks, auto-scaling of BATON setup in Amazon cloud/on-premises, support for DRM techniques, and enhanced audio language detection capabilities. Additionally, its new format supports VAST, P2 package, encrypted DCP content, AVC-Intra, WebM and Vorbis, and more.
Recent updates to the VEGA family AV1 format includes support for Windows 10, the latest HEVC HM reference code, HEVC-interlaced streams, VP9 streams (4:2:2, 4:4:4), PCAP streams, WebM, ALS Audio, Dolby AC-4 audio, and AVS Plus video. VEGA ABR software provides in-depth analysis, debug, and troubleshooting of complex ABR streams, making the solution an indispensable tool for checking the quality and integrity of manifest files and variants. Interra Systems’ VEGA Media Analyzer is a premier tool for standards compliance, debug, and in-depth analysis of encoded streams.