ScanSpot: Intelligent Monitoring of Energy and Logistics Infrastructure with Multi-Modal Sensing

ScanSpot is an Innovate UK-funded research project developing a next-generation monitoring platform for energy and logistics infrastructure. It addresses growing challenges in site safety, security, and situational awareness, particularly in complex environments such as EV charging hubs and freight depots where existing CCTV-based systems are often unreliable.

The system combines multi-modal sensor fusion, including LiDAR, radar, RGB-D, thermal, and low-light imaging, with deep learning to create a real-time 4D digital twin of a site. By continuously learning normal patterns of activity, ScanSpot can automatically detect anomalies such as unauthorised access, unusual vehicle behaviour, and early-stage thermal risks, enabling faster and more reliable incident detection.

In collaboration with industry partners including Aegis Energy, the project aims to deliver scalable intelligent infrastructure monitoring that supports safer and more efficient operations while reducing risk for operators and insurers. Ultimately, ScanSpot contributes to the development of resilient and intelligent systems that underpin the transition to sustainable energy and transport networks.