Big Changes...Big Ranges - Thermion 2 LRF XL60 Review - We talk Sensor NETD vs System NETD

[@HuntTXhogs]

I suppose if an algorithm is not done well that it could possible hinder the sNETD as well . . . What is understand is Pulsar wants to probably give their best on optimization but depending on how well the algorithm works it’d be hard to tell if sNETD is 22mk or 28mk on a 35mk sensor . . . Hopefully none of this ends up changing via firmware as that’ll be a peach to try and keep track of ! Thanks for the explanation

[@aphtonyjim]

Would have been nice to see the range finder built-in, like some of the competitors products.

[@kees356]

We need some AI here 😂, lets show them next to the other brands and see.... and F1.1 lens is 20% less core NETD performance, hope the software system can counter this cheaper lens.

[@TheNightVisionShow]

Hi, each brand has its own perk, the XL60 will not be the same as a Ace S60R or a SX60.

[@kees356]

@@TheNightVisionShow Big Changes...Big Ranges Its 50 vs 60 MM lens and F1.1 not really big - selling item?

[@Johnsmyth1]

Roosting raptors have no chance now with this star trek crap being available to fools.

[@VK6AB-]

Manufactures need to stop using meaningless detection ranges based on 50% probability. Recognition ranges at 70% or 90% are much more realistic metrics. Thus the recognition distance of a Roe deer at 90% probability (12um pixel pitch/ 60mm fl) is 450m and at 70% probability its 650m. These are real world useable numbers.

[@TheNightVisionShow]

Hi, Thanks for the comment the distance stated is detection range, so you will see a heat source at said claimed distance.not Identify.

[@VK6AB-]

@@TheNightVisionShow Detection = I can see something, Recognition its a 4 legged animal, Identification its a Roe deer. These metrics are originally based on Johnsons criteria which are from the US military developed under DARPA and were based on trained observers assessing threat, newer models are a variation on this theme. Thus for the Roe deer at 50% probability the recognition distance would be 810m. (R- 50% - 810m, 70% - 650m, 90% - 450m). Detection at 50% probability is based on ~ 1.5 pixels +/- 0.5 pixels - the point I'm trying to make is detection distance isn't a particularly useful metric.

[@migsy2728]

Ive got a headache

[@TheNightVisionShow]

Hi, yes lots to take in, but just think of it as 2 NETD values that work together to give higher performance.