Master Thesis - 3D Surveillance Analytics
Core
Develop methods for 3D sensor analytics to extract actionable insights from static surveillance data (e.g., traffic intersections) for automated alarm decisions.
Role type
Master's thesis researcher (Computer Vision/Deep Learning)
Builds
Analytics pipeline for 3D sensor data
Domain
Surveillance technology, Computer Vision, Embedded Systems
Deliverable
research
Required skills
Machine learning, Computer vision, Statistics, Python, C/C++, 3D data processing
Preferred skills
Rust, Embedded systems, Simulation environments
Responsibilities
Survey literature, develop methods for 3D sensor analytics, reduce computational cost for embedded hardware, evaluate methods on synthetic and real-world data, document findings in a thesis
