CTS will improve production quality for worldwide audiences with uncompressed video by implementing Net Insight’s media transport solution
Stockholm, Sweden – Net Insight, the leading provider of media transport and resource scheduling, today announced that China Television System (CTS), the national broadcaster of Taiwan, is deploying a Nimbra 140 solution to enhance the production values of its host broadcast coverage of the World Universiade 2017 Games. Double Advance, Net Insight’s local partner, is deploying the point-to-point transport over optical link solution for reliable, low-delay contribution feeds back to CTS’s transmission center.
The Universiade is a 12-day international sporting and cultural event which is staged every two years in a different city and is second only in scale to the Olympic Games. More than 9,000 student-athletes and officials from more than 170 countries participate. It is broadcasted on more than 100 TV channels. The Summer Universiade will take place in Taiwan capital Taipei from 19 August to 30 August 2017.
“To host this major international event is an important responsibility sharing the excitement, festivities and action from the competition to the world, so we therefor selected Net Insight’s solution,” said Chao-I, Lee China Television System. “Net Insight’s Nimbra will serve uncompressed video with minimal latency and with total reliability for the absolute best quality production.”
For first or last mile fiber connections, the super dense design of the 1RU 6-slot chassis in the Nimbra 140 series allows a discreet point-of-presence at a customer site or arena where space is often a scarce resource. For the host broadcast of the Universiade, CTS will use the Nimba 140 to multiplex up to 16 channels on a single dark fiber.
“The Universiade is a high-profile sporting event whose coverage will be seen by millions of people worldwide,” said Fredrik Tumegård, CEO of Net Insight. “By choosing the Nimbra platform CTS is not only able to deliver superior pictures for its live production but it will maximize usage of available resources.”
Implementation took place in July 2017.