AI-Driven Drone Vision for Smart City Infrastructure Inspection
At FlyScope, we combine the power of machine vision, AI-driven analysis, and edge-cloud integration to create next-generation tools for Smart City infrastructure maintenance and inspection. Our R&D team develops modular, scalable, and autonomous systems tailored for real-world deployments.
Machine Vision & AI
We design custom deep learning models for object detection, segmentation, and damage classification:
- YOLOv8 for fast object recognition
- SegFormer for precise semantic segmentation
- SAM (Segment Anything Model) for general-purpose fine-grained detection
Our AI stack is optimized for both real-time edge inference and cloud-based post-analysis.
Sensor Systems for Drones
FlyScope develops specialized RGB/IR sensor modules for aerial platforms:
- Dust, rust, corrosion, and surface damage recognition
- Multispectral data capture for high-contrast analysis
- Jetson-based smart modules with built-in AI acceleration
Edge Processing & Embedded AI
Our inspection drones carry onboard edge modules (e.g., NVIDIA Jetson, Qualcomm RB5) that:
- Analyze data on the fly
- Filter and compress payload
- Enable low-latency decision-making
This ensures operational autonomy even in limited connectivity zones.
Cloud Integration
Data captured by drones is transmitted securely to FlyScope Cloud, supporting:
- MQTT and REST API pipelines
- Real-time dashboards
- Smart City platform integration (U-Space, SCADA, GIS)
Our cloud backend is designed for scalable multi-city deployments with full GDPR compliance.
Continuous Innovation
We actively collaborate with research labs and urban tech partners to:
- Train AI models on real-world datasets
- Explore robotic cleaning modules
- Participate in EU innovation calls and sandbox pilots