SKU: 30799480824

Garmin Gmr Fantom 254 Radar 250 Watts With 4ft Antenna

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Description

Garmin Gmr Fantom 254 Radar 250 Watts With 4ft AntennaGarmin GMR Fantom 254 250 Watt 4' Open Array Radar Model: K10 00012 21 4, 250 W solid state open array radar with pedestal MotionScope technology detects and highlights moving targets in different colors to help avoid collisions, find flocks of birds and track weather Pulse Compression technology provides high resolution imaging while maximizing energy to enhance target detection and identification True echo trails display a fading trail to help you

Garmin GMR Fantom 254 250 Watt 4' Open Array Radar

Model: K10-00012-21
  • 4’, 250 W solid-state open-array radar with pedestal
  • MotionScope™ technology detects and highlights moving targets in different colors to help avoid collisions, find flocks of birds and track weather
  • Pulse Compression technology provides high-resolution imaging while maximizing energy to enhance target detection and identification
  • True echo trails display a fading trail to help you quickly and easily identify moving targets while accounting for the movement of your own boat
  • Overlay radar on your chart screen as single display or split screen with independent range settings
  • New mini-automatic radar plotting aid (MARPA) Automatic Acquisition allows for triggering and tracking with no user prompting on all returns, boundary zones, guard zones or MotionScope
  • Track targets and weather from 20’ to 96 nautical miles
  • Scan-to-scan averaging aids in reduction of sea clutter and interference
  • MARPA tracks up to 30 selected targets, helping you keep track of other vessels and avoid collisions
  • Choose from several easy-to-use settings that automatically adjust the gain or target size
  • Instant turn on with near silent operation and low power consumption

Featuring 250 W of power, GMR Fantom 254 is their most powerful 4' solid-state radar. It uses MotionScope technology to detect and highlight moving targets in different colors, which helps you avoid potential collisions, find flocks of birds and track weather. It includes Pulse Compression technology that provides high-resolution imaging and maximizes energy to help you detect and identify targets. It has a detection range of 20’ to 96 nautical miles.

You get excellent close- and long-range target detection from as close as 20’ to 96 nautical miles, even in fog or rain. The narrow horizontal beamwidth provides a high-resolution image, and the high antenna gain picks out weak targets at a distance. This radar paints a clear, concise image of the shoreline, other vessels and impending weather — right on your Garmin chartplotter. Get consistent target positions, excellent target separation that helps you distinguish large targets from small ones and adjustable rotation speed for fast screen updates.

GMR Fantom uses the Doppler effect to detect and highlight moving targets to help you avoid potential collisions, find flocks of birds and track weather formations. The Doppler effect is the frequency shift in the radar echo due to the relative motion of the target. This allows for instant detection of any targets moving toward or away from the radar. MotionScope highlights the moving targets on the radar display so you can navigate around other boats or severe weather — or toward fishing spots where birds are feeding at the surface.

A fading "trail" is left on the screen to help you quickly and easily identify moving targets and potential collision threats. Trails are corrected for your boat’s rotation when an autopilot or heading sensor is connected to your Garmin network.

Where there are birds on the water’s surface, there are fish below it. Auto Bird Gain helps you locate flocks of birds at the water’s surface where baitfish are likely to be found.

Dynamic Auto Gain automatically adjusts to your surroundings for optimal performance in all conditions. Dynamic Sea Filter automatically adjusts gain to changing sea conditions with user options for low, medium or high filtering.

You can increase the size of targets on screen to help differentiate from noise, or reduce the size to sharpen shoreline details.

The single radar antenna can display radar images on your chartplotter map page side by side, with independent range settings and controls for both close and long range. One or both ranges can also be viewed as a chart overlay. An autopilot or heading sensor is recommended for best results.

Mini-automatic radar plotting aid (MARPA) tracks up to 10 selected targets, helping you keep track of other vessels and avoid collisions.

This provides redundancy and the ability for each display unit on the boat to select data from 1 of 2 different radar sources.

Set the safety zone, and receive an alarm when an object enters the zone.

Variable range markers (VRM) and electronic bearing lines (EBL) allow rapid measurements of distance and bearing to vessels and land. It fits the selected radar range to the vertical size of your display to show more forward-looking radar returns on screen and make it easier to interpret target distances.

All Garmin radars are designed to be easy to install and easy to use. There are no complex user settings to adjust; just install your radar, and start using it. You can rely on the GMR Fantom radar to provide reliable, optimum performance in all conditions.

Specifications
General
Water rating IPX6
Antenna length 52.3""
Rotation speed (RPM) 24 and 48 rpm (High Speed only available in Single Range mode, with MotionScope disabled, and on range settings of 12 NM or lower)
Transmit power 250W of pulse compression power output, the approximate equivalent to a 6kW magnetron
Beam width 1.8° horizontal
Maximum range 96 nm
Minimum range 6 meters
Radar Features
High definition (outstanding target separation with less screen clutter) Yes
MARPA target tracking (collision avoidance) Yes (Requires Heading Sensor, Sold Separately)
Guard zone alarm Yes
Additional
MotionScope Yes
Auto Bird Gain Yes
Dual Radar Support Yes
Echo Trails Yes, True
Programmable Antenna Parking Position Yes
Max Wind Speed 80 kt
Input Voltage 10-32 V
Dimensions Pedestal: 16.6"" x 14.3"" x 10.7""
Full assembly: 15.9"" height x 52.3"" diameter

What's in the Box:
  • GMR Fantom 250 watt pedestal antenna and pedestal
  • 4' Fantom Antenna
  • Right angle power cable (15 meters)
  • Right angle network cable (15 meters)
  • Documentation
  • Mounting hardware kit and template
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 30799480824

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4.1 ★★★★★
Based on 8 reviews
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Shannon
Whiting, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Lowell, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Battle Creek, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Charlottesville, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Battle Creek, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018

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