Yaroboy is a low-tech AI system that detects armed groups approaching remote villages using sound, vibration, and fire sensors. It provides early warnings via solar powered radios, alerts authorities via satellite , and tracks attackers post raid using RFID tags. It’s Designed for locals with no electricity or internet and works offline to prevent nighttime raids.
This solution directly supports BGI by deploying AI for social good in conflict zones. It promotes platform growth by creating scalable , offline first tech adaptable to other regions. For community impact, it empowers vulnerable villages with life saving alerts, bridging the gap between civilians and security forces. By leveraging discarded smartphones and simple sensors, it aligns with sustainable , low-cost innovation. The system also generates actionable data for authorities while preserving privacy demonstrating ethical AI use. Its open source potential encourages global collaboration, fitting DFs mission to democratize technology for humanitarian challenges.
Northern Nigeria’s remote villages face brutal nighttime raids by armed groups on bikes orfoot.With no electricity,internet,or security presence, farmers get zero warning before attacks.Survivors report strikes at midnight when everyone is deeply asleep but without early realtime detection when bandit are distance away,communities can’t prepare.Post-attack,perpetrators vanish into rough terrain undetected. Current solutions (e.g., military patrols) are ineffective in these vast, roadless areas.
YAROBOY is a low-cost, no-internet AI system that detects attackers 40-60 minutes before they strike by listening for crowd noise, bikes, and vibration. Screams warnings through solar-powered radios so villagers can hide or escape. Alerts security forces via satellite and social media even with zero cell service. Tracks fleeing attackers using cheap RFID tags and drones, helping arrests. Implementable with 90% locally sourced materials.
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