Interra Systems to highlight how it is helping media companies deliver high-quality video and streamline content QC and monitoring processes.
At CABSAT 2023, Interra Systems will showcase its latest and most advanced content QC, monitoring, and analysis solutions including ORION Content Monitoring for OTT; ORION 2110 Probe; OCM (ORION Central Manager) for End-to-End Visibility of Video; BATON; and VEGA Media Analyzer (VMA).
Bibhas Kumar Samanta, Sales Head, India and MENA, at Interra Systems, said: “We are delighted to be attending CABSAT 2023, as it provides us with a great platform to demonstrate to our expanding customer base in the MENA region how we’re continuing to raise the bar for media QC, captioning, monitoring, and analysis. Our goal is to help media companies in the Middle East and beyond deliver high-quality video for their viewers while streamlining their content QC and monitoring processes across the entire digital media supply chain. To that end, we have some powerful new upgrades to our ORION, BATON, Captions, and VEGA Media Analyzer solutions that we are looking forward to sharing at the show.”
Interra Systems’ ORION and ORION-OTT are comprehensive monitoring solutions that address a variety of cloud deployment scenarios for linear broadcast, IP-based delivery infrastructures, and live/VOD OTT content. Recent enhancements to ORION include improved support for localisation, more HDR and SMPTE ST 2110 checks, enhancements in scheduled reports, usability improvements in live monitoring views, and support for scheduled monitoring that enables automated, time-based monitoring of feeds.
Upgrades to ORION-OTT on display at CABSAT 2023 will feature enhanced support for localisation, Dolby Atmos audio and monitoring of low-latency streams, more DASH compliance checks, improvements in freeze detection, and additional system alerts for third-party integration.
Interra Systems’ ORION 2110 Probe supports the SMPTE ST 2110 standard and enables broadcasters to future-proof the end-to-end monitoring of video quality in IP environments. Offering comprehensive QoS/QoE monitoring of SMPTE ST 2110 essence streams, including SMPTE ST 2110 main and redundancy signals, and NMOS integration, the ORION 2110 Probe is a solution that meets the diverse complexities and challenges of SDIoIP.
Interra Systems’ OCM offers broadcasters and service providers enterprise-wide visibility by enabling the central management of multiple ORION linear and ORION-OTT setups — either in the same or diverse geographic locations. By providing a consolidated, single-screen view of both linear and OTT workflows, OCM makes error detection and isolation faster and more efficient. OCM has multiple new features such as new support for localisation, end-to-end ad insertion monitoring, RHEL 8.4, and new options to schedule database backups for disaster recovery.
Leading the charge in ML-/AI-enabled automated QC platforms, Interra Systems’ BATON addresses the most demanding QC standards for quality and compliance. At CABSAT 2023, visitors will be able to see the solution’s most recent updates, including enhancements for QC and analysis of UHD content, optimised IMF analysis, and optimised reading and downloads from the S3 cloud. BATON now also offers complete support and checks for subtitles and transport stream formats, as well as Dolby Atmos, enhanced audio quality checks like Audio Silence, and new formats (e.g., REDCODE audio, enhanced DPX and TIFF format support, and more).
Enhancements to Interra Systems’ BATON Media Player — which allows media professionals to play, inspect, and verify audio and video content — now enable optimized playback of 4K content and further support for Dolby Atmos storage formats like AXS-R7, REDCODE audio, “.dng,” and more options to review errors along with recaptioning/subtitling tasks.
BATON Captions is an automated solution utilising cutting-edge ML and automatic speech recognition (ASR) technology, which helps broadcasters and media professionals to address all their caption-related requirements, including generation, live to VOD repurposing, post-production editing, and localization for different geographies. The platform’s range of features includes caption generation, QC, autocorrections, reviewing, regeneration, and editing for the global distribution of media. Interra Systems will demonstrate the latest features for BATON Captions, including IAM-based S3 access; additional languages; project-based custom dictionaries; burnt-in text detection; profane word detection; distributed processing using multiple nodes; next-generation format-specific checks; support for Cavena890, PAC, and CAP subtitling; stand-alone subtitle files for QC; recaptioning; exporting captions in the MacCaption closed caption (MCC) format; and adding tags for tasks.
BATON LipSync leverages image processing and deep neural networks to detect audio- and video-sync-related errors. Capable of performing facial detection, facial tracking, lip detection, lip activity detection, and speech identification, BATON LipSync provides a comprehensive report of all lip sync issues.
Using BATON LipSync, content can be checked in any language, independent of the region and area. The solution supports the majority of key industry formats and can be seamlessly integrated into any existing content processing workflow or used as a stand-alone application.
Interra Systems’ VMA is an analysis platform for standards compliance, debugging, and interoperability of encoded streams. VMA now offers support for the highest number of industry compression standards, such as AVS, HDR, AV1, VVC, Dolby Vision, ATSC 3.0, Dolby Atmos, DTS Audio, DolbyE Audio, Dolby AC4, Apple ProRes, JPEG XS, and HEIF.
At CABSAT, Interra Systems will showcase its most recent addition to the VMA platform and VEGA Vista. The analyzer can be part of automated workflows and offers granular-level customisation of parameters and checks. Comprehensive reports provide deep visibility into MPEG-2 streams and help with root-cause analysis for errors that can cause problems related to transmission or audio/video quality.
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