AI & Robotics

National

AEOLUS

AI-driven Efficient Object Detection for Low-power Unmanned Surveillance.

 

AEOLUS develops energy-efficient, AI-based object-detection methods that bring real-time computer vision to low-power unmanned platforms — extending surveillance capability where size, weight and power budgets are tightly constrained.

overview

Seeing more with less power.

Modern surveillance increasingly relies on small unmanned platforms — but advanced object detection is computationally expensive and quickly drains constrained power budgets. AEOLUS tackles this gap directly, designing AI models and pipelines that deliver accurate, real-time detection at a fraction of the energy cost.

Through model optimisation, efficient inference and hardware-aware design, the project extends the operational envelope of low-power unmanned systems — enabling longer missions, lighter payloads and dependable autonomy in the field.

Objectives & outcomes

Project facts

Programme

RESTART — Research & Innovation Foundation (RIF)

CYRIC role

R&D Partner

Duration

2024 – 2026

Total budget

€0.8M (placeholder)

Partners

CYRIC · University of Cyprus · industry partner

Programme

ACtive

Dissemination

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