Non-Invasive, Real-Time Poultry Health Monitoring via Acoustic AI
VScreen is an edge-deployed, acoustic intelligence platform that abandons reactive, error-prone visual inspections in favor of real-time vocalization analysis. By utilizing Multi-Strategy Knowledge Distillation, we deliver complex disease detection algorithms directly onto low-cost farm infrastructure.
What is VScreen?
VScreen is an advanced agricultural technology platform that functions as a continuous, non-invasive health monitor for large-scale poultry farms. Instead of stressing birds with physical examinations, VScreen analyzes the ambient audio of the flock. By extracting high-level acoustic features and processing them through a compressed LSTM neural network, the system categorizes flock vocalizations into healthy, unhealthy, or environmental noise in real-time.
Commercial Poultry Farmers
Early warning alerts before catastrophic flock mortality
Veterinary Professionals
Clinical decision-support for precise medical diagnosis
AgTech Integrators & IoT Providers
Lightweight models for farm management systems
Acoustic Feature Extraction
MFCCs, spectral rolloffs, and zero-crossing rates from ambient audio
Multi-Strategy Ensemble Learning
Bagging + boosting algorithms for robust farm environment generalization
Knowledge Distillation
Compressing complex Teacher models into lightweight LSTM Student models
Optimized Edge Deployment
Running offline on microcontrollers and farm smartphones without cloud connection
From flock sound to timely care
Explore how the mobile app brings flock checks, detection history, and nearby care providers together.
Record a flock sample
Start an audio check from the home screen and capture poultry vocalizations with your phone.
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The Problem We Solve
Flawed Visual Inspections
Current industry standard relies on manual visual inspection—highly prone to human error and slow to detect severe symptoms.
Cloud-Compute Dilemma
Audio signals are highly dimensional and complex. Processing them with deep learning usually requires cloud compute power that rural farms cannot access reliably.
Environmental Noise Interference
Background environmental noise creates severe data interference, causing generic models to overfit or trigger false alarms.
Our Strategic Market Opportunity
Across Africa, millions of farmers rely on poultry production for their livelihoods and national food security. Yet access to professional veterinary care remains severely limited, leading to critical delays in treatment.
By engineering a highly compressed, edge-deployable model locally, VScreen operationalizes the “Buy Uganda, Build Uganda” mandate. We provide a frugal, accessible, and sovereign technology that democratizes veterinary intelligence for the African farmer.
Impact at a Glance
Founders & Strategic Leads
Ishami Kwisanga Andric
Co-Founder & Technical Lead
Specializing in deep learning, software architecture, algorithm design, and system deployment.
Kyomuhendo Sumayah
Co-Founder & AI Engineer
Specializing in data science, acoustic signal processing, cybersecurity, and scalable software systems.
Ggaliwango Marvin (PhD)
Strategic Advisor & AI Mentor
Providing oversight on AI model optimization, research-to-product commercialization, and responsible technology governance at Makerere University.
Emmanuel Mugejjera (PhD)
Co-Investigator
Contributing expertise in agricultural IT, IoT, machine learning, and AI to guide VScreen's farm applications, connected-device integration, and practical deployment in poultry production.
Sarah Kaddu
Co-Investigator
Supporting VScreen's knowledge organisation, metadata, and information-governance work while helping strengthen ethical, inclusive, and responsible use of AI in the platform.
Alice Gitta Kutyamukama
Co-Investigator
Contributing semantic indexing, ontology design, and intelligent knowledge-management expertise to improve VScreen's information structure, contextual insights, and accessibility for research and innovation.
Published Research
Acoustic Feature Extraction And Multi-strategy Knowledge Distillation With Poultry Signal Vocalizations To Detect Diseases
IEEE Access · 2026
Authors: Ishami Kwisanga Andric, Kyomuhendo Sumayah, Ggaliwango Marvin, Emmanuel Mugejjera, Sarah Kaddu, and Alice Gitta Kutyamukama.
Our peer-reviewed publication documents the acoustic feature extraction, machine-learning evaluation, and knowledge-distillation research underlying VScreen.
Read the published paperReady to Transform Poultry Health Intelligence?
Join us in building ethical, explainable, and locally grounded AI for African agriculture.
Request Farm Pilot
Deploy VScreen on your commercial poultry farm and experience real-time acoustic monitoring.
Get StartedAccess Web Dashboard
Monitor your flock's health intelligence through our intuitive, explainable AI dashboard.
Learn MorePartner as an IoT Provider
License our lightweight LSTM model and add biological acoustic monitoring to your hardware.
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