Nigeria’s cities are under threat: This AI researcher has a plan

Victor Chigbo,

As the world accelerates the integration of Artificial Intelligence into national security, Nigeria risks falling behind. Countries such as the United States, Israel, and Singapore already deploy AI-driven systems to enhance threat detection, optimise surveillance, and prevent crime. Meanwhile, Nigeria faces escalating armed violence. from insurgent groups and bandit networks to criminal gangs, whose operations increasingly rely on firearms. Recent frequent raids highlight the scale and persistence of these threats, and their potential to spill into urban centres.

Globally, AI systems have been proven to enhance global security by providing early warnings to prevent fatalities. Estonia, a leader in this field, integrated AI into its “e-Estonia” initiative following a 2007 cyberattack. By combining AI-driven monitoring with KSI Blockchain, Estonia detects anomalies instantly and ensures data integrity. This proactive, algorithmic strategy has turned the nation into a resilient digital fortress and a global security blueprint.

In Nigerian context, one researcher working at the intersection of AI and public safety is Victor Chigbo, a Nigerian-born AI systems architect based in the United Kingdom. Victor’s postgraduate research at Southampton Solent University has produced a promising framework for firearm threat detection in complex, high-density environments. What began as academic research has since evolved into a potential commercially viable concept with clear real-world applications across the security sector.

His system is designed to integrate with existing surveillance infrastructure, adding a real-time firearm detection layer without requiring full replacement of current setups (a practical advantage for resource-constrained environments). A key feature of the framework is its human-in-the-loop validation mechanism, a deliberate design choice that flags ambiguous detections for human review rather than acting autonomously. This hybrid approach, combining machine speed with human judgementmeans, the system is built for responsible deployment, not just technical performance.

Victor’s research addresses a genuine gap in how AI is applied to public safety. Technically rigorous and responsibly designed, this is exactly the kind of research that moves from theory into operation,” says Dr. Olufemi Isiaq, Reader and Programme Director in Computer and Data Science at the University of the Arts London.

The research demonstrates measurable results, with the validation mechanism ensuring that detections requiring human oversight are systematically assessed, reducing the risk of false positive that have historically undermined trust in automated security systems.
Beyond urban security, the framework has applications across critical protection infrastructure, border control, emergency response coordination, and drone surveillance, areas where Nigeria continues to face significant operational gaps.

Victor’s work is a reminder that Nigerian talents, both at home and in the diaspora, are actively contributing to solutions for some of the country’s most pressing challenges. He is currently developing pathways to bring this technology from research into operational deployment, with potential implications for both the public and private security sectors.

The critical question is no longer whether the capability exists. It is whether Nigeria is ready to act. With the right investment, policy direction, and openness to diaspora collaboration, innovations like this could move from research to reality. Nigeria does not lack expertise in the age of AI, but it risks lacking the urgency to harness it.

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