FRS-1002-MD / FRS-1002-MD-LG-PA

Guide to installation and operation

 

 

 

The Alarm Setup Window

Alarms reported to Dashboard

Alarms reported to card’s LED

Card status (DS1)

Input 1(DS2)

Input 2 (DS3) Not used (DS4) Not used (DS5)

Card Reference (DS6)

FRS - 1002 - MD

Problems detected by the FRS-1002 card are transmitted as alarms to the card’s LED, to the Dashboard interface, and to the optional SNMP monitoring. The problems detected can be reported to the user as minor alarms or critical alarms.

The Alarm Setup window allows the user to set the alarm level at which many types of errors will be reported to the LEDs or to Dashboard, independently for channel 1 and 2, for the reference signal and for the license key detection. The alarm signals can also be disabled.

Minor: When the alarm level for a specific type or error is set to minor, the card’s LED will report the problem with a yellow light and Dashboard with a yellow circle next to an error message describing the problem.

Critical: When the alarm level for a specific type or error is set to critical, the card’s LED will report the problem with a red light and Dashboard with a red circle next to an error message describing the problem.

Carrier and video detection errors on input 1 are always reported as critical and cannot be set otherwise.

The Alarm Setup settings are automatically saved to memory and are recalled after a power-up.

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Algolith FRS-1002-MD operation manual Alarm Setup Window, Alarms reported to Dashboard Alarms reported to card’s LED

FRS-1002-MD specifications

The Algolith FRS-1002-MD is a cutting-edge video processing solution designed to enhance the quality of digital content for broadcasting and streaming. This innovative device boasts a range of main features and technologies that set it apart in the competitive landscape of video processing systems.

One of the standout characteristics of the FRS-1002-MD is its robust upscaling capabilities. It utilizes advanced algorithms that enable the device to convert standard definition (SD) and high definition (HD) content to ultra-high definition (UHD) resolution seamlessly. This is particularly valuable for broadcasters and content providers seeking to enhance the viewing experience for their audiences, allowing for a crisp and clear image even when displaying lower-quality media sources.

In addition to upscaling, the Algolith FRS-1002-MD incorporates dynamic noise reduction technologies. This feature significantly improves the overall aesthetic quality of video by minimizing unwanted artifacts and temporal noise, which can detract from the visual experience. By ensuring that content appears smooth and professionally polished, the FRS-1002-MD helps to maintain the integrity of visual presentations especially in live broadcast settings.

Another key technology integrated into the FRS-1002-MD is the intelligent frame rate conversion. This enables the device to adapt frame rates dynamically, providing smooth playback while optimizing the content for various display formats. It is particularly beneficial in scenarios where content is being repurposed across different media platforms, as it ensures consistency and a superior viewing experience regardless of how the content is consumed.

The user-friendly interface of the FRS-1002-MD further enhances its appeal, facilitating easy integration into existing workflows. The intuitive controls and visual feedback simplify the adjustment of processing parameters, making it accessible for a range of users from technical engineers to content creators.

Moreover, the FRS-1002-MD is designed with compatibility in mind. It supports a wide array of input and output formats, making it versatile enough to work with various systems and configurations in video production environments.

In summary, the Algolith FRS-1002-MD is a powerful video processing solution that excels in upscaling, noise reduction, and frame rate conversion. Its user-friendly design and extensive compatibility make it an ideal choice for any organization looking to elevate their video content quality robustly.