I have not used Mate in a long time nor has IPVM tested it, so there's not much we can say.
At one point, though, Mate faded away but I have seen some renewed marketing / sales effort from them (now, Mate / MangoDSP) over the past year or two.
Btw, OnSSI lists analytics integrations with Agent VI and VideoIQ, two other providers I would consider for existing thermal cameras on a government project.
Let's see what people know.
Those I have spoke to like VideoIQ and I have a real world demo of that at my office next week. I will let you know what I think after I see it in action.
What distance do u need ?
I have seen DRS and VideoIQ up to 400-500 feet working very nice
IPVMU Certified | 08/10/14 02:46pm
Sightlogix thermal cameras have worked well for us in perimeter protection.
Undisclosed Integrator. I work for FLIR.
We work with a variety of analytics devices, outputting both RTSP streams and Analog video as required. We have projects with Object Video, Mate, IOImage, VideoIQ, PureTech, AgentVI and a host of others.
In a partnering effort we helped develop modifications to the VideoIQ line to function better with thermal imagers, and specifically the image using our default settings which have been tailored after years of experience for a 24/7/365 security environment. Any device can be set to look good for that day in thermal. This allowed increased detection and classification ranges. Your customer wants classificiation on thermal events, not a day/night PTZ swinging over to provide that part which may not provide an image in the same environment as a thermal detector. It sounds like a subtle difference but it's not.
If you go to www.flir.com/raven you will find a pull-down for adding cameras to a site that includes TAP products. They are not a product, they are pre-scaled to the requirements of VideoIQ. Most analytics manufacturers use "Pixels on Target" to determine "Detection" versus "Classification" and your customer will want ranges suited to "Classification" in order to generate and alarm. VideoIQ uses a scale based on the FOV at the distance stated. That FOV changes based on a 320x240 imager and a 640x480 imager. 320x240 is significantly less expensive than 640x480 so it's a typical starting point. Distances of 600+ meters can be obtained along a fenceline with a significant section of dead zone under the camera.
Always feel free to reach out to your fiendly neighborhood FLIR guy as we walk people through these designs on a daily basis.