Cheers

tempnexus

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Was sitting here reflecting on our hobby, and thought it would be fun to raise a glass to a few of the detectors that have been "game changers" or historically significant.

View attachment 130052
And only one of them is currently still being sold.
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I noticed that right away too. Come on Jon, you're giving us all CM blue balls over here!
Don't worry I called Radenso and a nice lady picked up the phone. She told me that a new radar detector will be released in two weeks.
 
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TheSkyIsFalling

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And only one of them is currently still being sold.
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Don't worry I called Radenso and a nice lady picked up the phone. She told me that a new radar detector will be released in two weeks.

You are behind the times “in 2 weeks” is old new now.

Its now “it will be more than 2 weeks” which is the probably the most accurate time frame they have given thus far
 

Jon at Radenso

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STS-134

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I can't think of what would make the next one an actual 'game changer'?
For me it would have to do with BSM filtering.
-On the fly BSM learning/filtering?
-Bluetooth updatable BSM filtering?

We already have fast processors, long range and directional capability.
Using machine learning to tune a BSM filter automatically to new BSM systems. Of course you need to have the ability to detect details in signals far beyond what you need to simply alert to K band guns, in order to even allow machine learning to do its thing.
 

Buz

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Using machine learning to tune a BSM filter automatically to new BSM systems. Of course you need to have the ability to detect details in signals far beyond what you need to simply alert to K band guns, in order to even allow machine learning to do its thing.
One can dream.
 

DC Fluid

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Well Radenso definitely knew how to bait the hook to catch RDFers.
So, if a new detector comes out that has R7 sensitivity, better than Pro M filtering, threat direction info, killer MRCD/Redflex abilities and bold new features/tech,
I will be hooked too and have to sell my 2 new RDs and buy in.
Once the newest game changer is tested and approved by Vortex and RDF experts of course!
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Oh, and audio output jack or BT for motorcycle use.
 

E2S2R

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The next model will be a robot that sits in your passenger seat. In addition to being a RD and interface with ALP it will use CSA, IR, night vision, and AI to locate police while driving and point out the direction with its arms. It will have better BSM filtering because it can see the Honda 50m away. The voice will be realistic and will also provide turn by turn directions. It will sing along to music with you, if requested, and keep you awake should you get drowsy. It will report LEO to Escort Live and Gaze. It will JTK as soon as you reach a safe speed limit because it will be scanning speed limit signs.

that’s my prediction, give or take 99% of it. :p
 

KrazyK

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BSM (decoding) mystery will finally be solved, hence the perfect RD (as seen on the Fifth Element).
 

radarrob

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That's a great site.

I gotta admit, seeing the old game changers got me kind of excited so I went on eBay and picked up a Sentry and a Fuzzbuster II. They'll be fun to have sitting on the shelf for my videos. Now I just gotta find an original Escort too. :)
I have one I’ll let you have it.
 

tempnexus

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RedRocket

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Using machine learning to tune a BSM filter automatically to new BSM systems. Of course you need to have the ability to detect details in signals far beyond what you need to simply alert to K band guns, in order to even allow machine learning to do its thing.
I can't think of what would make the next one an actual 'game changer'?
We already have fast processors, long range and directional capability.
I feel like this is a teaser for something new...
Is that a new Radenso logo to boot ?
Do You ??
I noticed the "3" sweep pattern Logo (like a Radar Screen) & was wondering its significance...
X,K & Ka Band ? (or all 3 Ka bands)
 

Tb12

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On-unit AI for filtering doesn't make much sense - you'd need to tag every BSM false you encounter to train it, which won't give you a very good sample size. One wrong click on a real signal could screw your algorithm for a while. Better to centralize the data and processing for a WAY larger sample size plus better data on real detection. This also means new cars with new BSM signatures can be integrated much quicker and more reliably due to larger sample size. You definitely might need a better processor to more finely determine if a signal matches that algorithm (even if it's generated off-site).
 

Brainstorm69

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RedRocket

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On-unit AI for filtering doesn't make much sense - you'd need to tag every BSM false you encounter to train it, which won't give you a very good sample size. One wrong click on a real signal could screw your algorithm for a while. Better to centralize the data and processing for a WAY larger sample size plus better data on real detection. This also means new cars with new BSM signatures can be integrated much quicker and more reliably due to larger sample size. You definitely might need a better processor to more finely determine if a signal matches that algorithm (even if it's generated off-site).
Wouldn't it tax the RD much less in high speed processing power by ignoring ALL the various different types of BSM signals (no Alerts sounded) & instead concentrate on the known threats like real LEO radar units & ONLY alert for them. It seems like quantifying each of them individually as is done like Lidars guns would be a much easier task to recognize & alert to.
 

Deacon

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It seems like quantifying each of them individually as is done like Lidars guns would be a much easier task to recognize & alert to.
It seems like that’s what most try to do, couples with a more generalized strategy of weeding out FM signals in general. The problem seems to stem from so many of the signals being somewhat inconsistent and the “resolution” of the detectors being too coarse to reliably note the nuances of each source and separate them from some of the more “dirty” signals from some traffic radar sources. I remember some interesting testing results with my Falcon HR with inconsistencies in the Pro M, and @Jon at Radenso pointed out those guns are known to produce artifacts that can make it difficult to distinguish from FM sources.

When all you have to worry about is PPS, and it’s very consistent, the job seems to be much easier.
 

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