Moxa has introduced its new V-ON technology, which is designed to prevent video loss from mission-critical surveillance networks. Robust surveillance networks are an increasingly important aspect of public safety and critical security applications. To support non-stop video stream monitoring, V-ON technology overcomes layer 2 and layer 3 multicast limitations to recover from layer 2 video loss in under 50 ms, and to provide layer 3 routing redundancy of under 300 ms.
“Security events can happen in the blink of an eye, and video surveillance networks that fail to deliver key images in real time could delay response, resulting in disasters that endanger both people and property,” said Ray Hsu, product manager of Moxa’s industrial Ethernet infrastructure division.
To achieve non-stop video surveillance, Moxa’s V-ON network technology maximises IP surveillance network uptime. Combined with Moxa’s patented Turbo Ring/Turbo Chain protocols, V-ON technology optimises complex video streaming to implement layer 2 video recovery within 50 ms, and layer 3 routing recovery within 300 ms after a video network failure.
Video-always-on solution
V-ON can be implemented on a wide range of Moxa robust Ethernet switches by a simple firmware update. “As a matter of fact, video-always-on networking depends on V-ON’s optimised connectivity, device robustness, and management efficiency to achieve operational reliability, availability, and efficiency for mission-critical surveillance,” said Hsu.
“To facilitate fast network deployment and easy event tracking, Moxa offers MXstudio, a user-friendly network management suite that does NOT require IT skills,” he added. “By incorporating MXstudio with V-ON enabled switches, customers can complete configurations 10 times faster, and utilise the live-view topology and event playback functions to run intuitive surveillance network monitoring operations.”
ESG as a growth lever RS South Africa
IT in Manufacturing
Leading organisations are treating ESG not as a compliance obligation but as a practical tool for operational efficiency, supply chain resilience and business performance, with data and collaboration central to unlocking its value.
Read more...Preparing Africa’s data centres for the demands of autonomous AI Schneider Electric South Africa
IT in Manufacturing
Africa’s data centre infrastructure must evolve significantly to support agentic AI workloads, with GPU-intensive computing, advanced cooling and reliable power demanding a fundamentally different approach to facility design and investment.
Read more...Virtualising the control room to reshape building management systems Schneider Electric South Africa
IT in Manufacturing
Schneider Electric explains how virtualising building management systems frees facilities teams from ageing hardware, delivers stronger cybersecurity and enables portfolio-wide control from a single interface.
Read more...AI infrastructure solutions for data campus Schneider Electric South Africa
IT in Manufacturing
Schneider Electric and Motivair deliver more than $290 million in power and cooling infrastructure for TeraWulf’s AI-ready Lake Mariner data campus.
Read more...Africa’s data centre evolution: AI, edge computing and new energy demands
IT in Manufacturing
With less than half a gigawatt of active white space capacity serving over a billion people, Africa’s data centre sector faces a stark gap that AI’s surging power and cooling demands are set to widen. Vertiv and Open Africa Data Centres unpack how modularity, edge computing and smarter energy strategies could change the equation.
Read more...Luna Rossa partners with Siemens for 38th America’s Cup Siemens South Africa
IT in Manufacturing
Siemens details how Luna Rossa is using digital engineering and simulation tools, from CAD to structural optimisation, to design a faster yacht for the 38th America’s Cup.
Read more...AI is raising South Africa’s cybersecurity stakes
IT in Manufacturing
As AI accelerates both the sophistication and scale of cyber threats, South African organisations face significant gaps in cloud security, data governance and identity management that need to be addressed before AI capabilities are further embedded into business operations.
While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.
printer friendly version