As Kampala steadily advances toward becoming a smart city, the focus must evolve, from merely laying down infrastructure to embedding intelligence.
The real question is no longer about roads, synchronized traffic lights, or free Wi-Fi hotspots; it’s about the city’s ability to think. Can it anticipate and adapt to changes as they happen? Can it respond to a spike in foot traffic, identify and de-escalate violent incidents before they erupt, redirect cleaning services to actual litter hotspots, or predict flooding based on rainfall and water levels? This isn’t science fiction.
It’s already within reach, thanks to the power of Artificial Intelligence (AI). Local research, such as a study I did, shows how AI can be used to monitor human activity like crime and littering along public corridors such as Kampala’s Non-Motorized Transport (NMT) corridor.
But more importantly, this work lays the foundation for solving a wider range of urban challenges through locally developed, context-aware solutions. Deep learning, a sophisticated subset of AI that identifies patterns in massive datasets, including video feeds and sensor data, can go far beyond crime detection.
With the right tools and commitment, it can:
- Monitor overcrowding in public areas and trigger early interventions to prevent stampedes during markets, transport rush hours, or public events.
- Detect deteriorating air quality using satellite images and ground sensors, helping guide health advisories and zoning strategies.
- Analyze flooding trends using video and hydrological data to prompt faster drainage and adaptive infrastructure responses.
Track traffic behaviour, flag violations like wrong-way driving or sudden congestion, and assist in rerouting or enforcement. Spot infrastructure damage, like cracks or lighting faults, before they become safety hazards.
Monitor garbage bins in real time to support predictive waste collection and smarter routing of sanitation services. Study pedestrian and cyclist behaviour to design safer, human-centered urban transport systems. Promote construction site safety by identifying violations such as missing helmets or unauthorized entry in real time. Observe public health behaviours, such as mask use or handwashing, to guide awareness campaigns or health policies.
Even monitor informal economic activity, mapping vending zones and foot traffic to better support micro-enterprises. Kampala doesn’t need disjointed systems that work in silos. It needs a unified, intelligent platform that synthesizes all this data, delivers real-time insights, and equips decision-makers with actionable intelligence to govern the city moment by moment.
To move from ambition to action, city leaders must stop treating AI as a futuristic experiment and start recognizing it as a central governance tool. Globally, cities like Singapore, Republic of Singapore and Barcelona, Spain, are already using AI to enhance everything from waste management to energy forecasting, disaster readiness, and urban tourism.
Kampala should not be left behind, especially when it has the talent and innovation needed to lead. This transformation depends on action in three critical areas:
- Policy - Develop clear ethical guidelines to ensure responsible AI use in public spaces, protecting privacy and building public trust.
- Investment - Deploy the necessary infrastructure: smart cameras, IoT sensors, robust computing power, secure cloud storage, and open data platforms.
- Integration - Embed AI across all city systems, transport, sanitation, planning, emergency response, rather than keeping it siloed or experimental.
A truly smart city isn’t the one with the most digital screens or futuristic buildings. It’s the one that understands its people, adapts to their needs, and makes intelligent, compassionate decisions. Kampala already has the ambition. It’s time to give it a brain. The future of our capital city lies not just in steel and stone, but in our willingness to invest in its intelligence.
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Autor(en)/Author(s): Bekar Ismai
Quelle/Source: Monitor, 24.06.2025
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