April 3, 2026
The Promise Amid the Pain
Standing at Jos airport, barely 40 minutes from the blood-stained streets of Angwan Rukuba where 28 people lay dead, President Bola Tinubu made a bold promise to grieving Plateau State residents: 5,000 artificial intelligence-enabled CCTV cameras would be deployed across the state to help law enforcement identify troublemakers instantly.
The pledge came during the President’s controversial visit to Jos on Thursday, April 2, following the Palm Sunday massacre that claimed at least 28 lives and left many others injured. Minister of Communications, Innovation and Digital Economy, Dr. Bosun Tijani, confirmed the directive to install a network of AI-enabled surveillance cameras across Plateau State, beginning with Jos.
For Dr. Tijani, the promise was deeply personal. He recalled being a 24-year-old student at the University of Jos during the 2001 crisis, noting that 25 years later, the state is still searching for lasting peace. But as residents bury their dead and question yet another government promise, one question dominates Nigeria’s conversations: Can technology really solve a security crisis decades in the making?
What Are AI CCTV Cameras?
The cameras President Tinubu announced are not your typical security equipment. AI-powered surveillance systems represent a significant leap from traditional CCTV cameras that simply record footage.
Modern AI surveillance cameras use machine learning algorithms to analyze video feeds in real-time, detecting and differentiating between normal and suspicious activities. These advanced systems can identify specific objects, recognize faces, track movement patterns, and flag unusual behavior without constant human monitoring.
Key capabilities include:
Facial Recognition: The technology analyzes facial features and matches them against databases to identify known individuals or flag unknown persons in restricted areas.
Behavioral Analysis: AI cameras can learn what “normal” activity looks like in a given location and automatically alert security teams when anomalies occur—such as loitering near sensitive areas, unusual crowd formations, or vehicles in restricted zones.
License Plate Recognition: The systems can capture and process vehicle registration information, tracking movements and flagging suspicious vehicles.
Real-Time Tracking: When threats are detected, AI cameras can automatically follow individuals or vehicles across multiple camera views, maintaining surveillance even as subjects move through different areas.
Predictive Analytics: Advanced systems can identify patterns that may indicate security threats before incidents occur, enabling proactive rather than reactive security responses.
The Minister’s Reference Points: Lagos and Enugu
Dr. Tijani cited existing implementations in Lagos and Enugu as proof that AI surveillance systems work well in Nigeria. But do they?
The reality is more complex than the minister’s assurance suggests. While both cities have deployed surveillance infrastructure, publicly available data on their effectiveness in preventing or solving crimes remains limited.
Lagos State has invested heavily in surveillance technology as part of its “smart city” initiatives, installing thousands of cameras across the metropolis. However, Lagos residents continue to report high crime rates, and the state government rarely publishes metrics demonstrating how surveillance has impacted public safety.
Enugu’s system, referenced as Nigeria’s latest implementation, faces similar questions about transparency and measurable outcomes. While the cameras exist, their actual contribution to crime prevention or prosecution remains largely undocumented in the public domain.
Nigeria is not alone in grappling with surveillance effectiveness. Kenya’s experience offers a cautionary tale. Nairobi deployed Huawei’s Safe City system in 2014 with 1,800 high-definition cameras and 200 traffic surveillance infrastructures, becoming the first African city to implement such technology. Yet crime levels in Nairobi have continued to rise despite government promises of increased safety.
In a 2022 survey by Kenya’s National Crime Research Centre, only 4.2% of respondents identified CCTV cameras as an effective crime reduction method, while the majority cited community policing.
The Jos Context: Why This Crisis Is Different
To understand whether AI cameras can work in Jos, we must first understand the nature of the violence plaguing Plateau State.
This is not ordinary crime. The largest city in the state, Jos, was engulfed in vicious riots in 2001, largely fought between communities classified as “indigenes” and “settlers” over legal privileges, political representation, and access to local institutions.
At least 4,000 and possibly as many as 7,000 people have been killed since late 2001. The violence has evolved from urban riots to organized rural attacks, with Plateau state recording more than 420 attacks between 2021 and 2024, resulting in more than 3,000 deaths and displacing tens of thousands of residents.
The conflict’s roots run deep:
Land Disputes: Tensions between farming communities and herding populations over land use and ownership have created flashpoints across rural Plateau.
Indigene-Settler Divisions: Constitutional classifications determining who has rights to political representation and access to resources have created permanent divisions.
Ethnic and Religious Polarization: Religious identities have become strongly polarized, with the mostly Christian indigenes and Muslim Hausa and Fulani populations increasingly segregated.
Organized Violence: These are not spontaneous outbursts. Many attacks involve coordinated mobilization and armed groups operating with apparent impunity.
The most recent Palm Sunday attack in Angwan Rukuba fits this pattern—a coordinated evening assault that security forces failed to prevent despite the heavy military presence in Jos under Operation Safe Haven.
Can Cameras Stop This Kind of Violence?
The answer is complicated. AI surveillance technology has genuine capabilities that could enhance security—but only if several critical conditions are met.
Where AI Cameras Could Help
1. Deterrence Effect: The visible presence of surveillance infrastructure can deter opportunistic crime and reduce impulsive violence. Knowing they’re being watched and recorded may make potential attackers reconsider.
2. Evidence Collection: High-quality footage with facial recognition capabilities could help identify perpetrators after attacks, supporting prosecutions and breaking the cycle of impunity that characterizes Plateau’s violence.
3. Early Warning: AI systems monitoring unusual movements or gatherings could alert security forces to potential threats before they materialize, enabling preventive deployment.
4. Coordination: Integrated surveillance systems could help military and police forces coordinate responses more effectively across Jos and surrounding communities.
Where Cameras Will Fail Without Support
1. Rural Coverage Limitations: The cameras are starting in Jos, but much of Plateau’s violence occurs in rural communities where installing and maintaining surveillance infrastructure presents massive logistical challenges.
Attacks continue to occur in villages across Bassa, Bokkos, Mangu, and Riyom Local Government Areas—areas where the power supply, internet connectivity, and maintenance support required for AI surveillance systems may not exist.
2. The Human Intelligence Gap: Cameras don’t prevent violence; people do. Part of the problem lies in the perceived failure of the security system to prevent or decisively respond to attacks, with Amnesty International describing some incidents as “inexcusable security failures”.
If security forces don’t respond when cameras detect threats, the technology becomes expensive decoration.
3. The Root Causes Remain Unaddressed: The crisis is driven by unresolved questions of land ownership, belonging, and political representation. Cameras cannot resolve land disputes, eliminate the indigene-settler divide, or address the economic marginalization fueling violence.
4. Power and Maintenance Realities: Nigeria’s infrastructure challenges cannot be ignored. AI surveillance systems require constant power supply and regular maintenance. In a country where electricity remains unreliable even in major cities, sustaining 5,000 sophisticated cameras presents a monumental challenge.
5. Data Protection and Privacy Concerns: Surveillance systems across Africa have raised concerns among privacy-conscious members of society, with Kenya’s system deployed in 2014 when the country had no data protection laws. Opposition and civil society leaders in Uganda have contended that surveillance cameras with facial recognition technology could be used to track and target government critics rather than enhance security.
Nigeria lacks robust data protection frameworks to prevent surveillance abuse. Who will access the footage? How will it be stored? What prevents the technology from being weaponized against political opponents or vulnerable communities?
What Nigerians Really Want to Know
Beyond the technical specifications, Nigerians watching Dr. Tijani’s announcement have deeper questions:
Will this be another abandoned project? Nigeria’s history is littered with grandiose security promises that fade as news cycles move on. The $460 million FCT CCTV loan project remains under investigation for alleged irregularities. Will Plateau’s 5,000 cameras suffer the same fate?
Where will the money come from? At a time when Nigerians are grappling with economic hardship, is spending potentially hundreds of millions of naira on surveillance cameras the best use of resources? Could those funds be better spent on intelligence gathering, community policing, or addressing the economic drivers of conflict?
What about accountability? As of early June 2025, no arrests were confirmed for killings in Kwall that occurred near a Nigerian military drone base. If perpetrators of attacks that happen literally next to military installations go unpunished, will cameras change that equation?
Who benefits? Technology contracts in Nigeria often raise questions about procurement processes and vendor selection. Who will supply these AI cameras? Was there competitive bidding? Are we importing Chinese surveillance technology that comes with its own security and privacy concerns?
The Verdict: Technology Alone Cannot Save Jos
The evidence from Nigeria, Kenya, Uganda, and other African countries implementing surveillance systems points to an uncomfortable truth: AI cameras are tools, not solutions.
They can support security efforts when integrated into a comprehensive strategy that includes:
- Competent, well-resourced security forces that respond effectively to threats
- Political will to address the root causes of conflict rather than just its symptoms
- Community trust and cooperation that intelligence gathering requires
- Transparent procurement and deployment that builds public confidence
- Judicial systems that actually prosecute perpetrators and end the culture of impunity
- Economic development that provides alternatives to violence
- Dialogue and reconciliation mechanisms that heal divided communities
Without these elements, 5,000 AI cameras in Jos risk becoming 5,000 expensive witnesses to continued bloodshed.
Dr. Tijani’s personal connection to Jos and his ministry’s commitment to supporting peace efforts are commendable. But Nigerians have heard promises before. Despite numerous peace efforts, including the 2014 Joint Declaration of Commitment to Peace and Cooperation and the 2018 Plateau State Road Map for Peace, tensions remain at historic highs.
The Minister promised this is “not an empty promise,” pointing to Lagos and Enugu as success stories. But success must be measured in lives saved, attacks prevented, perpetrators prosecuted, and communities reconciled—not cameras installed.
What Should Happen Next
If Nigeria is serious about using technology to address Plateau’s security crisis, several actions are essential:
1. Transparent Implementation: Publish the procurement process, vendors selected, costs involved, and deployment timeline. Let Nigerians see where every naira goes.
2. Clear Metrics: Define what success looks like. How will we measure whether these cameras are working? Commit to publishing regular reports on system performance, arrests made using surveillance footage, and crime trends.
3. Community Engagement: Involve Jos communities in planning where cameras go and how the system operates. Address privacy concerns and build trust that the technology will protect, not target, vulnerable populations.
4. Infrastructure Investment: Ensure reliable power supply and internet connectivity. Consider solar-powered systems for rural areas. Plan for long-term maintenance beyond the initial installation.
5. Integrated Strategy: Make the cameras part of a broader security plan that includes improved intelligence gathering, community policing initiatives, judicial reforms, and most importantly, serious political dialogue to address the indigene-settler divide and land conflicts.
6. Data Protection Framework: Establish clear rules governing who can access surveillance footage, how long it’s retained, and how privacy rights are protected.
7. Accountability Mechanisms: Create independent oversight of the surveillance system to prevent abuse and ensure it serves public safety rather than political interests.
Conclusion: Technology and Truth
As Jos residents bury their dead and brace for possible reprisals, they need more than cameras—they need justice, security, and hope that tomorrow will be different from yesterday.
AI surveillance technology can contribute to that future, but only if deployed as part of a genuine commitment to ending Plateau’s cycle of violence. Without addressing the root causes, fixing the broken security response system, and ensuring accountability for perpetrators, 5,000 cameras will simply provide high-definition documentation of Nigeria’s failure to protect its citizens.
The question is not whether AI cameras can work in Jos. The question is whether Nigeria’s leaders have the political will to do everything else required to make them effective.
Twenty-five years after Dr. Tijani witnessed Jos’s first major crisis as a student, and over two decades after thousands have died in recurring violence, Plateau State deserves more than technological band-aids on systemic wounds.
The cameras may come. But will peace follow?
This analysis is based on public reports, government statements, and security expert assessments as of April 3, 2026.
