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Lights, Camera, Voltage: Inferring Electricity Grid Voltage Using Image-Based Sensing - Sylvia Imanirakiza

University of Massachusetts Amherst
2026
electricity access
Power Quality
Computational Photography
machine learning
signal processing
Energy Systems
Smart Grids
Voltage Monitoring
Electrical Engineering
sustainable energy
infrastructure
Grid Reliability
Last-Mile Electrification
energy access
Developing Economies
Kampala
Nairobi
Low-Cost Sensors
computer vision
Utility Monitoring
Energy Equity
renewable energy
data science
AI for Infrastructure
Electrical Grids
energy policy
urban infrastructure
Photonics
Voltage Stability
Public Utilities
Smart Cities
Monitoring Systems
engineering research
sustainable development
Grid Analytics

This research uses computational photography and machine learning to monitor electricity quality through the flickering patterns of everyday lights. By analyzing images captured in cities such as Kampala and Nairobi, the work offers a low-cost method for measuring voltage instability and improving power-grid planning in underserved communities lacking reliable electricity infrastructure.

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