Land

A drone approaching from 400 metres is invisible until it is not.

Vidhance Drone Vision provides 360-degree situational awareness and automated threat detection for unmanned and manned ground vehicles, from a software layer on the camera hardware already in the platform.

Explore starter kit

The threat to ground vehicles has changed

Drone attacks on armoured and unarmoured platforms are an established threat in current and near-term land operations. A vehicle’s cameras, which previously existed for driver vision and crew situational awareness, are now a first line of defence against airborne threats.

That role requires a different capability set: full hemispheric coverage, automatic detection of small fast-moving objects against cluttered backgrounds, and fast enough output to alert the crew before the engagement window closes.

A second problem is cognitive overload. Presenting a crew with four to eight independent raw camera feeds does not scale under operational stress. Threats are missed not because the sensors are absent but because the operator cannot process what they show.

How it works

Drone Vision for Land

Vidhance Drone Vision is a software-defined vision layer for UxV platforms. The following capabilities are available for land deployments.

[Learn more about Drone Vision] → /industries/defence-security/vidhance-drone-vision/

[PLATSHÅLLARE: Videoklipp – demo videos för Land capabilites]

01 – Stabilization

Electronic Image Stabilization (EIS) and Horizon Correction stabilize all camera feeds in real time, compensating for vehicle vibration and terrain shock. Rolling Shutter Correction addresses distortion from high-frequency vibration in vehicle-mounted cameras. Stabilization runs upstream of all detection and tracking algorithms, so their performance is not degraded by platform motion.

[STATUS: EIS, Horizon Correction, Rolling Shutter Correction – LIVE.]

02 – 360-Degree Situational Awareness

Multi-Camera Stitching merges camera streams from around the vehicle perimeter into a single stabilized panoramic picture in real time. Virtual views, including a stabilized forward view, compressed wide view and synthetic overhead representation, are derived from the same fused stream. The operator works from one coherent picture rather than a bank of raw feeds.

Virtual Gimbal extends this further, creating a software-controlled field of view steerable across the fused panorama without moving parts.

[STATUS: Multi-Camera Stitching, Virtual Gimbal – Q3 2026, demo-material klart.]

[PLATSHÅLLARE: Videoklipp – 360-graders panorama demonstration]

03 – Threat Detection and Tracking

Moving Object Tracking detects and locks onto drones and small UAVs against the visual complexity of terrain and sky, where manual detection is unreliable. Detection events surface within the fused panoramic view, so the crew knows not only that a threat exists but where it is in the space around the vehicle.

Multi-Object Tracking maintains independent locks on multiple detected objects simultaneously, without operator intervention.

Landmark Tracking maintains a fixed reference point in world coordinates, supporting persistent area observation independent of vehicle movement.

[STATUS: Moving Object Tracking, Multi-Object Tracking – LIVE. Landmark Tracking – Q4 2026.]

[CONFIRM: Bearing og range output til downstream-systemer – vad outputtas faktiskt och till vilka gränssnitt?]

“improved visualization, better focus during teaching discussions, and enhanced patient safety through reduced overcrowding”

Technology developed through four years of field development in East Africa is now applied at Uppsala University Hospital’s National Burn Centre. A peer-reviewed article documents how head-mounted cameras with Vidhance software improve surgical and burn care training – with a remarkably high level of acceptance among surgeons and anaesthesiologists across eight countries.

Snorrason, Huss, Modarressi, Kildal – European Burn Journal, April 2026. DOI: 10.3390/ebj7020020