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SOLUTION Counter-UAS Sensor Fusion Mission-Critical

Counter-UAS: From Detection to Response

Detection, tracking, identification and response — engineered as one mission system.

Discuss a Counter-UAS Program See Case Studies

The industry's challenges — and how we answer them.

Challenge 01

Detection alone never closes the loop

Most counter-UAS procurements buy a detection layer and discover later that an alert on a screen is not a defense. The gap between "something is in the air" and "the threat is handled" is where programs stall.

RT Projects Response

We architect the full chain up front — detect, track, identify, respond — and treat the handoffs between stages as first-class interfaces rather than integration work left to the customer.

Challenge 02

False positives in cluttered environments

Urban and industrial sites are full of birds, delivery drones, RF noise and reflective surfaces. A system that cries wolf gets muted by its operators within a week, which is the same as having no system.

RT Projects Response

Sensor fusion across acoustic, RF and EO/IR, plus classification against an authorized drone database, so a track has to survive several independent sensor families before it reaches an operator.

Challenge 03

Latency between detection and authorization

A small UAV can cross the useful engagement window while an alert is still propagating through a chain of consoles and approvals. Response value decays second by second.

RT Projects Response

Processing runs at the edge and the C2 presents a decision-ready picture rather than a raw feed, so the operator spends the window deciding instead of assembling context.

Challenge 04

Vendor boxes that do not integrate

Sensors, C2 and effectors are frequently sourced separately and arrive with closed protocols. Programs then pay twice — once for the hardware and again for the integration nobody scoped.

RT Projects Response

We build the integration layer as the product. Sensors and effectors from other vendors are brought in behind defined interfaces, so the customer is not locked to a single supply chain.

Counter-UAS is not a detection problem. Detection is the part of the chain that is already commoditized – an acoustic array or an RF sniffer will tell you something is in the air. The value sits in what happens in the seconds after: fusing scattered contacts into one track, separating a hostile platform from a friendly one, putting that decision in front of an operator, and closing the loop to an interceptor.

RT Group builds the full chain. Acoustic and RF mesh nodes, EO/IR classification, sensor fusion and tasking in a C2 ground station, human-in-the-loop validation, and integration with the response layer – engineered as one mission system rather than assembled from vendor boxes that do not talk to each other.

The same embedded, RF and edge-AI engineering that underpins our defense and aerospace work carries this platform: real-time software on constrained hardware, signal processing at the sensor, and a system architecture designed to survive the field rather than the demo.

Low-Cost Interceptor Architecture

The economics of counter-UAS are often inverted: a traditional dedicated interceptor can cost far more than the drone it is built to stop. Against a threat that is cheap, expendable and increasingly deployed at scale, that is an unfavorable cost exchange ratio – and one that does not hold up as drone threats multiply.

RT Group’s approach separates the expensive part of the problem from the cheap part. Instead of engineering a dedicated interceptor airframe from scratch, we pair a commercially available low-cost drone platform with RT Group’s real-time embedded, AI, sensor-fusion and command-and-control engineering. The R&D and the intelligence live in software, electronics and C2 – not in a custom-built airframe that has to be re-engineered for every mission profile.

The Architecture

Low-cost drone platform → RT Group Guidance & Control Logic → Radar / Acoustic Detection → EO Tracking → C2 & Sensor Fusion → Low-Cost Interceptor

Radar and acoustic sensors detect and localize the threat. EO confirms and tracks it. RT Group’s C2 layer fuses the sensor data and manages the engagement workflow end to end. The result is a scalable, cost-effective counter-drone architecture designed to significantly improve the cost exchange ratio against low-cost drone threats – an affordable Counter-UAS response built for a threat environment where volume, not unit sophistication, is the problem.

Target Cost Exchange Ratio

MetricValue
Traditional dedicated interceptor$10,000 – $120,000 per unit
RT Group low-cost interceptor (target)Under $1,000 per unit
Potential cost reduction80-95%

These figures are engineering targets, not delivered pricing – they represent the architecture’s objective ahead of a working prototype and a validated bill-of-materials cost.

Infographic illustrating an Integrated Counter-UAS system featuring Multi-Sensor Detection (Radar, EO/IR Cameras, RF/Cyber RF), Sensor Fusion & Command Control, and Graduated Mitigation options including Soft-Kill and Hard-Kill Effectors.

Technology Stack
Acoustic Sensing RF Direction Finding EO/IR Sensor Fusion Edge Computing AI Classification C2 Software RTOS Embedded Linux Interceptor Integration
Capabilities

Multi-sensor detection

Acoustic and RF mesh nodes cover the protected volume, so a single spoofed or jammed sensor type does not blind the system.

Sensor fusion and tracking

Scattered contacts from different sensor families are fused into one continuous track and pushed to the ground station at near-zero latency.

AI classification and friend-or-foe

EO/IR and on-device models classify the platform and check it against the authorized drone database before anything is escalated.

Human-in-the-loop authorization

Operator validation is a designed stage of the chain, not an afterthought — with the evidence behind each track presented at the moment of decision.

Response and interceptor integration

Tasking, autonomous deployment and terminal engagement, integrated with the response assets already in the customer’s inventory.

Edge processing under field constraints

Signal processing runs at the sensor rather than in a data centre, so the system holds up on constrained power, compute and bandwidth.

FAQ

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Services
Industries Served
19+
Years experience
200+
Projects delivered
2M+
Deployed devices
3
Global offices

Built to the standards this sector is audited against.

We engineer toward the standards your program is measured against, and produce the evidence its certification path depends on.

MIL-STD-810

US DoD

Environmental engineering considerations for field-deployed hardware. We design sensor and edge units against the relevant method profiles; qualification testing is run with the program and its designated labs.

MIL-STD-461

US DoD

Electromagnetic interference control — directly relevant where RF direction finding and interceptor links share a site. We support EMI-aware design and pre-compliance work.

STANAG 4586

NATO

Interoperability standard for unmanned control systems. Relevant where the C2 layer has to interoperate with existing NATO-aligned command infrastructure.

IEC 62443

IEC

Security for industrial and operational technology networks, applied to the C2 and sensor network. Readiness workflows are supported; accreditation remains with the operator.

Need a standard that is not listed? Compliance scope is defined per engagement. Talk to an engineer →

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