USCG NAVCEN features user-friendly experience for MMSI

USCG NAVCEN features user-friendly experience for MMSI

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The USCG NAVCEN website now features a new user-friendly experience for visitors looking to learn about MMSI requirements, registration or transfer. According to USCG NAVCEN: Maritime Mobile Service Identities (MMSIs) are nine-digit numbers used by maritime digital selective calling (DSC), automatic identification systems (AIS), and certain other equipment to uniquely identify a ship or a […]

RTCM Annual Assembly and Conference

RTCM Annual Assembly and Conference – June 13-16, 2023

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The Future of Maritime Communications & Navigation – 2023 RTCM Annual Assembly and Conference From rtcm.org: RTCM’s Annual Assembly and Conference 2023 will be held June 13 – 16, 2023 in beautiful downtown Jacksonville, Florida, USA at the Hyatt Regency Riverfront Hotel and Convention Center.  The Annual Assembly and Conference is open to all – RTCM members […]

Shine Micro, Inc.

EEZ AIS monitoring from a shore station with the Shine Micro SM1680

Posted on Posted in Announcements, News

Achieve over the horizon 200 NM* EEZ AIS monitoring from a shore station with the Shine Micro SM1680 Octal AIS Receiver Array The SM1680 is a Software Defined Radio (SDR) with four synchronized receivers on each AIS channel, achieving extended-range Exclusive Economic Zone (EEZ) AIS monitoring without the cost, latency, or other limitations of satellites. Click […]

US Falls Short on Transparency at Sea, Oceana Report Finds

U.S. Falls Short on Transparency at Sea, Oceana Analysis Finds

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Industry around the world is coming together in the face of a common threat: COVID-19.  But what is the relevance between COVID-19 and AIS? As a military and defense contractor, Shine Micro understands that an essential element combat is to understand enemy attack vectors.  A recent article published by the United Nations Office for the Coordination of Humanitarian Affairs highlights how Automatic Identification System (AIS) data is valuable to epidemic disease modeling