SKU: 36296323912

Furuno FM4800 VHF Radio w/AIS, GPS Loudhailer [FM4800]

Sale price$312.75 Regular price$347.50
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Description

Furuno FM4800 VHF Radio w/AIS, GPS Loudhailer [FM4800]FM4800 VHF Radio with AIS, GPS & Loudhailer Marine VHF Radiotelephone with Class D DSC, GPS Receiver, AIS Receiver and Simplified Loud Hailer The FM4800 is a marine VHF radiotelephone with built in Class D DSC, GPS Receiver, AIS Receiver, and Simplified Loud Hailer with intercom. Its compact housing enables it to be installed in a variety of craft, even vessels where space is limited, such as center console boats. The unit can be mounted on its

FM4800 VHF Radio with AIS, GPS & Loudhailer 

Marine VHF Radiotelephone with Class D DSC, GPS Receiver, AIS Receiver and Simplified Loud Hailer 

The FM4800 is a marine VHF radiotelephone with built-in Class D DSC, GPS Receiver, AIS Receiver, and Simplified Loud Hailer with intercom. Its compact housing enables it to be installed in a variety of craft, even vessels where space is limited, such as center-console boats. The unit can be mounted on its lightweight bracket, either desktop or overhead, or it can be flush mounted. The FM4800 shares a common appearance with other Furuno equipment, such as NavNet TZtouch2, NavPilot 711C, and the FI70 Instrument series, offering an integrated appearance to any helm.

With its built-in GPS receiver, the FM4800 does not require an external GPS source to enable its DSC functionality. The unit can be used as a backup source of GPS positioning for other onboard electronics. Its built-in AIS Receiver can be used to overlay AIS targets with networked GPS Plotters or MFD's, such as NavNet TZtouch, NavNet TZtouch2, or GP1871F/GP1971F combo units.

Built-In GPS, DSC & AIS 

An existing GPS source can be connected to the FM4800, and it can share its own GPS, DSC and AIS information via NMEA0183 or NMEA2000. When connected via NMEA2000 to any NavNet TZtouch2 MFD, DSC calling can be initiated directly from the TZtouch2 MFD by simply tapping on the AIS/DSC target and selecting [DSC Call]. Additionally, when MOB (Man Overboard) is activated on a TZtouch2 MFD, the FM4800 enters a special mode where you can initiate a distress call by simply pushing the rotary knob.

Loud Hailer, Intercom & Listen Back Features

The FM4800 can operate as a simplified Loud Hailer with intercom, featuring 8 patterns of alert sounds. Loud Hailer, Fog Horn and Warning Signal features are all available, enhancing onboard safety and communications while navigating in the dark or fog. When connected with the second-station handset, intercom communications are available, allowing communications between the two devices. Additionally, the horn speaker can be used to collect external sounds and transmit them through the built-in speaker with a function called Listen Back. In this way, a person on the deck can easily communicate with the bridge, a particularly useful feature for a variety of fishing vessels and workboats. The Listen Back function can also be an effective tool on sport fishing vessels, allowing the horn speaker to collect the sound from fishing rods and lines when you get a strike.

Features:

  • NMEA2000 Certified VHF, AIS Receiver, 30-Watt Loudhailer, GPS & Remote DSC
  • Simplified installation thanks to its pigtail cables & "5-in-1" configuration
  • Dual-station operation w/optional HS4800 full-function remote (up to 30 meters)
  • Single NMEA2000 connection for backup GPS/AIS Receiver/Remote DSC 
  • Outputs NMEA0183 Position, AIS and DSC data to legacy equipment
  • IP67 waterproof transceiver, microphone, handset (option) & speaker (option)
  • Cosmetic match to TZtouch2 for consistent "family" look when flush mounted
  • Multiple mounting options (Desktop, Overhead, Flush Mount)
  • Initiate DSC calls directly from TZtouch2 MFDs (version 6.01 software)
This product may not be returned to the original point of purchase. Please contact the manufacturer directly with any issues or concerns.

Specifications:

  • Scrambler Capable: No
  • Hailer: Yes
  • Remote Mic Capable: Yes
  • NMEA 2000: Yes
  • Built-In GPS: Yes
  • AIS: Yes
  • Color: Black
  • Intercom Capability: Yes
  • Box Dimensions: 7"H x 11"W x 12"L WT: 6.9 lbs
  • UPC: 611679377609

Owner's Manual (pdf)
Brochure (pdf)
Shipping Notes
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Exchange/Return Notes
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SKU: 36296323912

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P
Paul Pollock
Pawtucket, US
★★★★★ 5
Your Blueprint for Building Smarter AI!
Format: Paperback
If you're building AI and sometimes feel a bit lost, "LLM Design Patterns" by Ken Huang is like finding the secret map you've been searching for. Ken Huang, who clearly knows his stuff (he's a renowned AI expert and works with big names like OWASP and NIST), writes in a way that just clicks, without getting bogged down in super-dense tech talk. The author even acknowledges using AI to make the language clearer for a smooth reading experience! This book covers everything you need, from getting your data squeaky clean to making AI agents that can actually think and act autonomously. For me, the parts on Retrieval-Augmented Generation (RAG) and advanced ways to 'talk' to your AI (prompting) were particularly eye-opening and immediately useful for my projects. Plus, it has handy code snippets that really help you grasp the ideas. While they're not ready for direct production copy-pasting, they illustrate the concepts perfectly for learning. It's not for absolute beginners – you'll want some basic Python and machine learning smarts to get the most out of it – but the effort is totally worth it. It even delves into making sure your AI is fair and unbiased, which was a real lightbulb moment for me. This book is crammed with actionable advice; it's less about abstract theory and more about real-world solutions you can actually use. If you're serious about building impressive AI systems professionally, this is a must-read.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2025
A
Allen Wyma
West Palm Beach, US
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 26, 2025
O
Om S
Charlottesville, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Cuba, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
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Reviewed in the United States on July 2, 2025
N
Nader
West Palm Beach, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025

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