FLIR D-Series thermal security cameras let you see intruders and other threats to your facility's security clearly in total darkness and in bad weather
FLIR D-Series thermal security cameras let you see intruders and other threats to your facility’s security clearly in total darkness and bad weather.
The FLIR D-Series outdoor dome enclosure provides precision pan/tilt control while providing fully programmable scan patterns, radar slew-to-cue, and slew-to-alarm functionality.
The FLIR D-Series thermal imaging security cameras are configured for both IP and serial networks. The D-Series systems deploy a 320 × 240 thermal imager with a day/night 36X zoom color CCD camera.
FLIR’s D-Series thermal multi-sensor security dome cameras are the perfect replacement for legacy dome cameras and provide clear, 24/7 imaging capability in an attractive, discrete dome-style enclosure.
Benefits of FLIR D-Series Thermal Security Cameras
High-quality 24/7 thermal video security converage
Broad range of lenses available for the thermal camera:
9mm / 13mm / 19mm / 35mm
Fields of view from 48 degrees to 13 degrees
Day/Night 36X zoom color CCD camera
Simultaneous visible-light and thermal video outputs ensure
optimal imaging performance in a wide variety of conditions
Precision, rugged outdoor dome enclosure provides 360°
continuous pan and +45° to -180° tilt for uninterrupted coverage
Auto Digital Detail Enhancement (DDE) built in for
optimal image quality across all scene conditions
Open IP standards for plug-anD-play integration and
configuration in digital networks
Multiple channels of streaming digital video available
in H.264, MPEG-4, or M-JPEG formats
FLIR Sensor Manager single-device version included
The Johnson Criteria assumes that the critical dimension for a human being is 0.75 meters. To get DRI, you need 1.5 pixels, 6 pixels and 12 pixels across 0.75 meters in the object pane. That means:
Detection
1.5 pixels / 0.75m = 2 pixels per meter
Recognition
6 pixels / 0.75m = 8 pixels per meter
Identification
12 pixels / 0.75m = 16 pixels per meter
Assuming that a man is 1.83m by 0.5m, the following would apply:
Detection
3.6 pixels by 1 pixel
(You can see something
is there)
Recognition
13 pixels by 5 pixels
(You can see that a
person is there)
Identification
28.8 pixels by 8 pixels
(You can see that the
person looks like a soldier)
The Johnson Criteria assumes that the critical dimension for a human being is 0.75 meters. To get DRI, you need 1.5 pixels, 6 pixels and 12 pixels across 0.75 meters in the object pane. That means:
Detection
1.5 pixels / 0.75m = 2 pixels per meter
Recognition
6 pixels / 0.75m = 8 pixels per meter
Identification
12 pixels / 0.75m = 16 pixels per meter
Assuming that a vehicle is 4m by 1.5m, the following would apply:
Detection
2.8 pixels by 1 pixel
(You can see something
is there)
Recognition
13 pixels by 5 pixels
(You can see that a
vehicle is there)
Identification
26 pixels by 10 pixels
(You can see that the
vehicle may be a humvee)
The Johnson Criteria assumes that the critical dimension for a human being is 0.75 meters. To get DRI, you need 1.5 pixels, 6 pixels and 12 pixels across 0.75 meters in the object pane. That means:
Detection
1.5 pixels / 0.75m = 2 pixels per meter
Recognition
6 pixels / 0.75m = 8 pixels per meter
Identification
12 pixels / 0.75m = 16 pixels per meter
Assuming that a inflatable boat is 9m by 1m, the following would apply:
Detection
4.5 pixels by 1 pixel
(You can see something
is there)
Recognition
18 pixels by 2 pixels
(You can see that a
boat of some kind is there)
Identification
36 pixels by 4 pixels
(You can see that the boat
is a small Inflatable Boat)