Swaraj Secutech Private Limited

INTREPID™ fence sensors reliably detect cut or climb attempts while ignoring harmless disturbances caused by wind, rain or vehicle traffic, maximizing detection probability and preventing nuisance alarms.

To initiate detection, the system processor sends a continual pulse down the detection cable. When the system registers a disturbance to the fence, the pulse is reflected back to the processor, providing a system operator with the precise location of the event , enabling real-time assessment and response.

 

 

Southwest Microwave’s INTREPID™ buried cable detection system offers reliable protection for applications where covert perimeter protection is essential. These volumetric intelligent sensors detect walking, running or crawling intruders to within 3 meters (10 ft) and can follow ground contours and handle tight turns with ease.

INTREPID™ buried cable detection system is simple to configure and system parameters can be set to individual site requirements.

 

 

The system’s patented calibration process, Sensitivity Leveling™, uniquely compensates for variations in ground composition or site conditions – resulting in uniform detection along the protected area. Users can assign detection zones in software anywhere along the cable, keeping hardware requirements low and assuring superior detection.

 

Our microwave sensors detect intrusion attempts by generating an electromagnetic (RF) field and creating an invisible volumetric detection zone. When an intruder enters this detection zone, changes to the field are registered and an alarm occurs.

Our microwave sensors are easy to install, provide high probability of detection, low nuisance alarms and resistance to rain, fog, wind, dust, falling snow and temperature extremes.

High-security, perimeter detection sensors with a 3-dimensional detection pattern for fence lines, open areas, walls, gates, entryways, and rooftop security applications. These sensors combine field-proven detection performance with advanced digital signal processing to optimize detection while minimizing nuisance alarm potential.