T-Mobile
Drone AI: Real-Time 5G Video Analysis and Agentic LLM
This project, sponsored by T-Mobile, developed a 5G-based real-time drone video analysis system integrated with agentic LLMs. Drone video and telemetry data are transmitted via 5G to an edge node, where YOLOv12 performs object detection and Gemma3-4B generates captions. GPT-based models handle higher-level summarization and reasoning. Results, including detections and key flight/network KPIs, are stored in a database and visualized through an operator dashboard. The system supports natural language queries via an agent orchestrator and features an end-to-end, real-time, asynchronous processing pipeline.
Students
Faculty Adviser(s)
Luyao Niu, Electrical & Computer Engineering
Related News
Mon, 10/13/2025 | UW Mechanical Engineering
Capstone collaboration leads to award
An ME capstone team received first place for its energy audit of the UW School of Social Work building.
Mon, 07/07/2025 | UW Mechanical Engineering
Capstone creations
Students displayed innovative capstone design projects at the 2025 expo.
Fri, 09/20/2024 | UW Civil & Environmental Engineering
Smarter irrigation for a greener UW
A new project combines satellite data with ground sensors to conserve water and create a more sustainable campus environment.
Mon, 09/09/2024 | UW Mechanical Engineering
Testing an in-home mobility system
Through innovative capstone projects, engineering students worked with community members on an adaptable mobility system.