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Thermal payloads

Thermal drone cameras
for day and night ISR.

A useful thermal payload is defined by the target-to-background contrast, the required field of view and the platform budget, not by detector resolution alone.

OEM integrationCurrent specificationsQuotation support
Thermal payloads / PD70 Thermal payloads / PD70 product view

Selection criteria

Start with the mission envelope.

Use the same requirement boundary for every candidate, then compare documented evidence rather than headline numbers.

01

Detector and lens

Read resolution, pixel pitch, focal length and field of view as one optical chain.

02

Image evidence

Request matched frames at representative distance, contrast and zoom, with gain mode and processing recorded.

03

Radiometry

If temperature measurement is required, confirm calibration, emissivity assumptions and measurement workflow.

Supplier evaluation

Shortlisting a thermal drone camera supplier?

Use matched image evidence, detector and lens data, installed mass and power figures to compare candidates on the same mission requirement.

Technical reading

Build the evidence package.

Use the engineering guide to normalize claims across optics, stabilization, installed mass, power and interfaces before issuing a technical RFQ.

Engineering brief

Thermal selection that survives daylight

Detector resolution is only one input. Contrast, lens, field of view and platform class decide whether a thermal drone camera is useful.

Core formats
640 × 512 thermal
Mass band
250 g to fixed-site 20 kg
Typical uses
ISR, inspection, surveillance
Key evidence
Matched thermal frames
Brief 01PD70
PD70 Compact thermal drone gimbal
PD70≤250 g · 640×512 · 3-axis

01 Engineering brief

Define the thermal problem first

A thermal drone camera is often bought to answer a question that visible imaging cannot: where is the warm object, how much of it is visible, and can the operator tell it apart from the background? Those questions depend on target-to-background temperature difference, emissivity, atmospheric transmission and the amount of the target that fills a detector pixel. They do not depend on resolution alone. A 640 × 512 imager with a suitable lens can outperform a higher-resolution device whose field of view spreads the target over too few pixels.

Write the requirement in observable terms. Is the task to detect a person at 300 m, recognise whether a vehicle is loaded at 1 km, or monitor a perimeter for movement? Each task needs a different combination of field of view, pixel coverage and image processing. For search, a wider field reduces the chance of missing an object. For identification, a narrower field puts more pixels on the target. The operator's display and the time available to reacquire also matter, because a narrow thermal image is difficult to search without cueing.

Brief 02PT95B
PT95B Tri-sensor UAV gimbal camera
PT95B≤700 g · 640×512 · 1.5 km

02 Engineering brief

Match the thermal core to the platform

The PD70 packages a 640 × 512 thermal core and a 4K visible camera into a 250 g three-axis gimbal. It is aimed at small UAVs that need stabilized day and night awareness while preserving endurance. The PD80B uses a longer 25 mm thermal lens in a lighter two-axis pod for terminal tracking from a loitering munition; its visible channel is deliberately wide to help the operator keep the target in context during the final approach.

For longer airborne missions, PT95B and PT130 add laser ranging and a third sensor channel. PT95B combines a 19 mm thermal lens with 4K visible imaging in a 700 g pod. PT130 offers a choice of 25 or 35 mm thermal optics and a 30× visible zoom in a 1.1 kg package. The larger aircraft can carry more optical reach, but it also pays in power, drag and integration effort.

Fixed-site thermal observation uses a different logic. The PD230 and PD240 place a 75 mm thermal channel on a 20 kg two-axis pedestal, while the PF400 counter-UAS turret uses the same class of thermal reach with a fast 360° steering architecture. These are not interchangeable with airborne pods simply because they share a detector format.

Brief 03PT130
PT130 Long-range UAV gimbal camera
PT13030× optical · 2 km · ≤1.1 kg

03 Engineering brief

Detector, lens and field of view

For an uncooled thermal imager, resolution, pixel pitch and lens focal length determine the instantaneous field of view. A smaller pixel pitch can provide more angular resolution for a given focal length, but it also reduces the signal per pixel and places greater demands on optics and processing. The practical result is a system trade, not a simple “more pixels is better” rule. Ask for the detector format, pixel pitch, spectral band, noise-equivalent temperature difference and frame rate together.

Field of view is the number an operator feels immediately. A narrow lens makes a distant target larger but reduces situational awareness; a wide lens finds the target but may not classify it. Dual-field or zoom thermal optics can bridge the gap, but they add mass and cost. If the mission needs both, consider a two-channel architecture or a visible sensor for context. The thermal camera selection guide walks through the pixel-coverage calculation with representative target sizes.

Image processing also changes what the operator sees. Automatic gain control, digital detail enhancement, noise reduction and palette selection can improve usability, but aggressive processing can hide subtle contrast or make two different scenes look similar. Ask for raw or minimally processed frames when comparing cameras, and record the palette and gain mode used in every demonstration.

Brief 04PD80B
PD80B Loitering munition tracking pod
PD80B≤285 g · Vehicle / UAV · 2-axis

04 Engineering brief

Stabilization and image usability

Thermal images are especially sensitive to motion because low-contrast scenes provide few features for the eye to anchor on. A small amount of jitter that is tolerable in a bright visible image can make a thermal target unreadable. The gimbal's residual motion at the selected lens, the aircraft vibration spectrum and the display latency therefore need to be assessed together. A three-axis pod is not automatically stable, and a two-axis pod is not automatically inadequate; the installed result is what matters.

Check how the camera behaves during a slow search pattern, a fast slew and a hover in wind. Look for image smear, lag and overshoot. If the payload has tracking, test what happens when the target passes behind a tree or a building. Does the track coast, stop or jump to a new object? A thermal camera that finds a target but loses it during handoff is not delivering the mission outcome.

Brief 05PD230
PD230 60× EO/IR surveillance turret
PD23060× optical · 75 mm · 20 kg

05 Engineering brief

Power, data and environmental questions

Thermal cores can draw more power during startup and at extreme temperatures, especially when a heater or cooler is involved. Obtain startup, steady-state and peak figures at the intended ambient temperature. Confirm the input voltage range and connector type, and check whether the airframe can tolerate the inrush without a brownout. For a small UAV, a few watts can translate directly into minutes of endurance.

Video transport should be specified by format, resolution, frame rate, compression and latency. If the camera outputs raw thermal data for analytics, confirm the data format and synchronization method. If it outputs compressed video, confirm whether the thermal and visible streams are separate or fused, and whether the overlay is burned into the image. For fixed installations, also check network protocols, cybersecurity assumptions and behaviour after a link interruption.

Environmental protection needs more than an IP rating. Ask about operating temperature, thermal cycling, humidity, salt fog where relevant and window heating or defogging. A thermal window that fogs or collects dust will lose contrast no matter how good the detector is. The cleaning method and replacement procedure should be part of the deployment plan.

Brief 06PD240
PD240 Long-range EO/IR turret
PD24060× optical · 360° continuous · 20 kg

06 Engineering brief

A thermal acceptance checklist

Request matched thermal frames at three distances, with the target type, background temperature, lens, gain mode and processing settings recorded. Ask for a sequence that includes a slow pan, a fast slew and a target moving behind partial cover. Measure power at startup and after thirty minutes of operation. Confirm the mechanical drawing, connector schedule and mounting hardware.

On receipt, repeat the same tests before installing the payload. Keep a reference frame for each gain mode and lens. If the camera supports radiometry, verify the calibration and measurement workflow against a known source; do not assume that a thermal image with a temperature overlay is calibrated. For non-radiometric use, record the qualitative settings so that later comparisons are meaningful.

Thermal imaging is a powerful tool, but it is not a substitute for a complete mission architecture. Pair it with visible imaging where identification matters, with a rangefinder where target location matters, and with a stable data link where the operator needs to act on what the camera sees. The application pages map these combinations to ISR, border, maritime and counter-UAS tasks.

Questions from integration teams

Frequently asked questions

01

Is 640 × 512 enough for a thermal drone camera?

For many airborne ISR and inspection tasks, yes, provided the lens and field of view put enough pixels on the target. The required pixel coverage depends on whether the operator needs detection, recognition or identification. A higher-resolution detector is not useful if the lens, stabilization or data link cannot preserve the detail.

02

Do I need a radiometric camera?

Only if the mission requires temperature measurement rather than thermal contrast. Radiometry adds calibration, emissivity and measurement-workflow requirements. If the task is to detect people or vehicles, a well-configured non-radiometric imager may be sufficient and easier to integrate.

03

Can thermal see through smoke and fog?

Thermal radiation is attenuated by water vapour, dust and dense smoke, and performance falls with distance and humidity. It can reveal contrast that visible light cannot, but it is not an all-weather guarantee. Ask for test data under the conditions the mission expects, not only on a clear baseline day.

04

Why does the thermal image look better in one palette?

Palette and gain settings change the mapping from temperature contrast to display brightness or colour. A palette can make a scene easier to read, but it can also exaggerate or hide differences. Standardize the palette and gain mode for comparisons, and keep the raw frame if a technical decision depends on it.

OEM and programme support

Request a configuration review.

Share the platform, target set, range and interface constraints. We will map the relevant format and current documentation.

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