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Surveillance AI

Thermal Imaging in Perimeter Defense

GGIS Technical Team
9 min read

Thermal cameras detect temperature differences rather than visible color, making them useful for detecting people or vehicles across dark, low-contrast perimeters. They complement, rather than replace, visible cameras used for identification.

Design for detection

Choose lens and sensor resolution from the target size and required detection distance. Position the camera to create a stable scene with a clear thermal contrast and enough pixels on target for the selected analytic task.

  • Separate detection, recognition, and identification requirements.
  • Avoid views dominated by sky, reflective water, exhaust outlets, or moving hot machinery.
  • Account for terrain, fences, vegetation, and animal paths.

Build reliable analytics

Draw intrusion lines and zones around the actual perimeter objective, then set target classification, direction, dwell time, and size filters. Pair thermal alerts with a steerable or fixed visible camera when operators need clothing, color, or facial detail.

  • Use overlapping views at corners and critical approaches.
  • Stabilize poles and mounts to protect analytic alignment.
  • Route alerts through a documented verification and response process.

Test environmental limits

Validate during day and night and across expected weather. Heavy rain, dense fog, high humidity, and surfaces warmed by the sun can reduce contrast or change false-alarm behavior, so seasonal retuning may be needed.

Field Note from GGIS

Walk the boundary at near, middle, and far distances while recording. A successful test confirms both detection and the operator's ability to understand and act on the event.

Need help with your implementation?

Our engineering team is available to help design and implement this solution for your residential or commercial project.

Consult with an Engineer