R&D prototype · Passive detection · TRL 4, self-assessed

Low-cost passive drone detection, built to measure false alarms.

An RGB camera stream goes to edge AI detection and tracking, then to an alert a person can review. The prototype is built to count false alarms per hour, time to first alert, and track continuity.

TRL 4
Current self-assessment
RGB
Edge detection and tracking
Review
Alerts a person can check
Per hour
How false alarms are counted
Early outdoor test, own 4K camera. Single site, preliminary.

The current prototype

An RGB camera stream goes to edge detection and tracking, then to an alert a person can review.

Vigiloft Current Prototype

  1. RGB Camera / Video Stream

  2. AI Detection & Tracking

  3. Alert Generation & Human Review

Preliminary Detection Benchmark

RGB YOLOX-S v3 · Public Anti-UAV dataset · Initial evaluation

99%Event Detection Rate101 of 102 evaluated events

2.53False Alerts / Hour3 false alerts over ~1.19 hours

Public Anti-UAV RGB evaluation: 91 sequences, 102 labeled drone events, and approximately 1.19 hours of video. Three false alerts were observed. The limited test duration makes the hourly false-alert estimate preliminary. Results do not establish performance in real-world deployments.

Thermal, acoustic, mmWave radar, passive RF, and sensor fusion are separate research activities, not part of this RGB path.

View research status

What a site test needs to establish

A score on a public dataset does not say how a detector behaves at a port or industrial site. A controlled test has to measure reliability, false alerts per hour, and whether the setup can actually be run there.

Detection Reliability

A detector can mark a drone in a curated clip and still lose it when the target is small, distant, or partly hidden by weather, glare, or clutter. Field validation checks whether a track holds long enough to raise a useful alert at that site.

False Alerts

Birds, aircraft, insects, wires, and site clutter can look like a drone. On a site, the count that matters is false alerts per hour, and whether a person can review them without the queue becoming the work.

Practical Deployment

A site test has to fit the camera, power, sightlines, and the people who will review alerts. Placement, hours of operation, privacy limits, and review time are part of the measurement.

Sites where this research could apply

The research is aimed at sites that need distributed coverage and a lower operator workload. These are the environments where false alarms per hour would be measured.

  • Ports & Maritime Facilities

    Camera coverage of terminals, cargo areas, and waterfronts, where birds, cranes, and vessel traffic are the clutter an operator has to ignore.

  • Airports & Airspace

    Passive awareness along a perimeter, where aircraft and birds are the hard negatives and any test follows site airspace rules.

  • Energy Infrastructure

    Detection around plants, substations, and corridors, where a small drone has to be separated from birds and infrastructure.

  • Industrial Sites

    Sensor placement around yards and plants, where wires, vehicles, and clutter drive false alerts.

  • Public Events

    A portable RGB setup for a temporary site, with a person reviewing each alert.

  • Government Facilities

    Passive detection with an audit trail of alerts and a person in the review loop.

  • Remote & Rural Monitoring

    A compact RGB-first setup for sites with limited power, backhaul, or specialist staff.

What the research measures

mAP alone is insufficient for operational systems. A detector can score well on curated frames while still generating hundreds of false alarms per hour in continuous video. Each sensor configuration is scored on the metrics below.

  • False alarms per hour

    Primary metric

  • First-alert time (seconds)

    Also tracked

  • Track continuity (%)

    Also tracked

  • Cost per km² coverage

    Decision metric

  • Review minutes per shift

    Operator metric

Passive drone detection, in plain terms

What is Vigiloft?

Vigiloft is a research and development platform from Galadriel Tech Solutions Inc. for low-cost passive drone detection. The current system is an R&D prototype focused on RGB edge detection, tracking, and measuring false alarms. It is not a production counter-UAS product, and it is not a deployed five-sensor system.

How does the current prototype detect drones?

The running path takes an RGB camera stream, detects and tracks with edge AI, and raises an alert for a person to review. Thermal has an offline RGB-thermal fusion benchmark on public data. Acoustic and radar have research baselines. Passive RF exists as a separate Remote ID prototype and is not fused into the RGB path. Module status is listed in the technology section.

Is drone jamming legal in Canada?

ISED treats radiofrequency counter-drone devices that interfere with a control link, or send signals the operator did not intend, as jammers. The Radiocommunication Act generally prohibits jammers. The Minister of Industry can exempt a person, class of persons, or entity by Ministerial Order under subsection 14(1), for purposes such as national security, public safety, national defence, or protection of property, and only on the conditions in that order. A supplier may be covered when working under contract for an already exempted entity, with that use supervised. Those orders are specific. They are not a rule that every legitimate Canadian product must be passive. Vigiloft does not jam, spoof, take over, or kinetically defeat a drone. This prototype detects, tracks, and raises an alert for a person to review.

Why do drone detection systems produce false alarms?

Birds, aircraft, insects, clouds, wires, and site clutter can resemble a drone to a single sensor. Vigiloft treats false alarms per hour as a primary research metric. Temporal persistence and tracking run in the prototype. Cross-modal confirmation and contextual rules are the next layers in that work.

What is Vigiloft's current maturity?

The project self-assesses at technology readiness level 4. RGB detection runs on the edge, and an early outdoor test has started at a single site with our own 4K camera. Representative Canadian field validation is still required before any operational performance claim.

Who can discuss field validation?

Ports and maritime facilities, airports, energy sites, industrial facilities, public events, government sites, and remote locations are the environments this research is aimed at. We are looking for organizations willing to host a controlled field test. There are no deployed customer installations.

Field validation partnership

A first conversation is about a controlled test of the RGB detection path. This is what each side can bring to that discussion.

Galadriel provides

RGB detection and tracking prototype

A potential partner participates

Coordinate a suitable test site

Galadriel provides

Test plan and performance evaluation method

A potential partner participates

Provide the site environment and operating requirements

Galadriel provides

Detection, false-alarm, and alert analysis

A potential partner participates

Help define feasible controlled test conditions

Galadriel provides

Test results and an improvement report

A potential partner participates

Give feedback on the test results

This is a suggested scope for discussion. It is not a request that you commit to a free deployment, or that you provide site access and support at no cost. It is also not an offer that Galadriel will deploy the system or provide the full service for free. Scope and cost are agreed before any test.

Discuss field validation

Tell us about the site, the clutter, and what an operator would need to trust an alert.

Galadriel Tech Solutions Inc. uses your name, organization, work email, use case, and message only to respond to this inquiry. We do not sell this information. To ask for a copy or deletion, email [email protected].

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