Nigerian engineer develops privacy-focused AI for smart buildings
Amid rising concerns about data privacy, James Onyejizu is pioneering AI-driven sensing systems that respect personal privacy in smart spaces. His research aims to estimate human presence and activity in buildings without using invasive cameras or identifiable imagery. Onyejizu believes that smart buildings can be intelligent and responsive without compromising privacy, using non-imaging sensors and advanced deep learning models. He also highlights the importance of privacy-preserving technology for Nigeria and Africa, where trust and cultural adaptation are crucial.
What we know
- James Onyejizu is developing AI systems that use non-imaging sensors to detect occupancy and activities in buildings while protecting individual identities.
- His models connect activity patterns to indoor air quality and energy use, enabling smarter ventilation and HVAC control.
- He emphasizes that privacy-respecting smart building systems can build trust in communities wary of surveillance.
- Onyejizu hopes his methods can be adapted to low-cost sensors for deployment in schools, clinics, and offices across Africa.
- He believes Africa can leapfrog to privacy-focused smart buildings, avoiding reliance on camera-heavy systems developed elsewhere.
