Governance, Responsibility, and IP Positioning
VScreen is built as an explainable, practical, and research-backed solution for poultry health monitoring.
Core principles
Responsible AI
The platform is designed to be explainable and practical, with edge deployment reducing the need for constant cloud dependence.
Research-backed development
The work is grounded in academic collaboration at Makerere University and supported by a strong technical and research advisory team.
IP and commercialization readiness
The system combines a deployable model, a clear user story, and strong potential for partnerships, pilots, and future licensing.
What this means in practice
VScreen positions itself as a locally relevant technology for African agriculture: accessible, lightweight, and designed to support early disease detection while remaining aligned with responsible innovation and long-term product growth.
Peer-reviewed research record
VScreen's technical foundation is documented in an IEEE Access publication authored by Ishami Kwisanga Andric, Kyomuhendo Sumayah, Ggaliwango Marvin, Emmanuel Mugejjera, Sarah Kaddu, and Alice Gitta Kutyamukama. The paper records the project's acoustic feature extraction, machine-learning evaluation, and knowledge-distillation approach.
Acoustic Feature Extraction And Multi-strategy Knowledge Distillation With Poultry Signal Vocalizations To Detect Diseases
IEEE Access, 2026