MWC 4K60 4:4:4 & H.264 1080p Multi-Codec, Dual-Stream Encoder
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Artikelnr: 840-00072
Tillverkarens artikelnummer: AMX-N26E001
EAN: 718878035016
- High-Quality, Low-Latency 4K60 MWC encoding
- High-Compatibility, Low-Bandwidth 1080p H.264 encoding
- Video Preview viewable from the built-in web interface or from a touch panel
- USB 2.0 Transport
- High security network support and features, including multicast, VLAN tagging and QoS
- PoE+ powered with low-power mode for energy savings
- Open Direct-Control API
The AMX SVSI NMX-ENC-N2612S is a cost-effective, powerfully robust multi-codec, dual-stream encoder in a stand-alone box form factor. It features a high-quality, low-latency 4K60 4:4:4 MWC codec that is ideal for encoding both live video and detailed content in classrooms, meeting spaces, courtrooms, bars, and other applications.
High-compatibility, low-bandwidth 1080p H.264 encoding is also included and perfect for distributing video over congested networks and is compatible with third-party devices and networks such as Panopto, Wowza, YouTube, and Facebook.
Also included is transport of full-bandwidth USB 2.0 signals, video preview images viewable from the built-in web interface or from a touch panel, and enhanced support for high-security networks.
Compatible decoders include the NMX-DEC-N2622S Decoder and NMX-DEC-N2625-WP Decoder Wallplate. Additionally, the H.264 stream generated by the NMX-ENC-N2612S is compatible with N3000 series decoders and the NMX-WP-N3510 Windowing Processor.
Common Applications
The N2600 Series is ideal for almost any streaming application but is especially applicable for colleges and universities, corporate, casinos, hospitality, government and many more. High-quality, low-latency 4K60 4:4:4 MWC streaming is perfect for transmitting both live video and detailed content within classrooms, meeting spaces, courtrooms and bars. N2600 models with the ‘S’ designation add high-compatibility, low-bandwidth 1080p H.264 streaming for distributing video in installations with congested networks. Hybrid learning applications will especially benefit from the significant cost savings of si