The Metropolis of Cape City says it has no fast plans to deploy synthetic intelligence (AI) visitors cameras at scale, regardless of early success from a pilot undertaking that used AI-powered cameras to detect motorists driving with out seatbelts, utilizing cellphones behind the wheel, or committing offences akin to crossing stable white traces.
Following the pilot, the town approached the Nationwide Director of Public Prosecutions (NDPP), South Africa’s high prosecutor, for steering on whether or not proof gathered via AI-enabled cameras could be admissible and legally enforceable.
“There is no such thing as a plan for a mass rollout of AI visitors cameras; nonetheless, we can’t low cost the chance that AI will play a much bigger function on this and different technique of enforcement sooner or later,” Kevin Jacobs, spokesperson for Cape City’s visitors companies, informed TechCabal.
Cape City’s cautious strategy displays a broader problem dealing with governments globally: balancing the effectivity of AI surveillance with authorized and constitutional protections.
AI-powered enforcement instruments have gotten widespread in international locations akin to China and components of the European Union, the place they assist highway security and public surveillance methods.
Nonetheless, regulatory frameworks differ sharply throughout jurisdictions, shaping how the expertise is used.
In South Africa, any enlargement of AI visitors cameras would wish to adjust to the Safety of Private Info Act (POPIA). Whereas legislation doesn’t ban the usage of AI-powered photographs, it classifies facial photographs and biometric identifiers as “particular private info,” which means authorities should reveal a lawful foundation for amassing such information, restrict assortment to what’s essential, and guarantee sturdy safety safeguards.
“Steady highway surveillance captures excess of simply offenders. Regulation-abiding motorists, passengers, and pedestrians are additionally recorded. That makes objective, minimisation, limitations, and retention guidelines crucial,” stated Nerushka Bowan, a expertise and privateness lawyer and the founding father of Regulation Innovation Expertise Tomorrow (LITT) Institute.
Bowan famous that, along with the POPIA Act, for proof collected via AI-powered cameras to be admissible, it should adjust to the Felony Process Act and established evidentiary rules. For instance, the system should be dependable and correct; there should be a transparent chain of custody for the info; the proof should be able to being challenged and examined in court docket; a human decision-maker should in the end train judgment.
If an accused particular person can’t meaningfully problem how the AI reached its conclusion, that raises equity considerations. South African constitutional legislation locations a excessive worth on procedural equity and the best to problem proof.
Municipalities and prosecutors will want a technical understanding of how these AI methods work, have requirements in place for accuracy and auditing, implement clear accountability traces when methods fail, and have the capability to clarify AI proof in court docket.
Cape City has more and more turned to expertise to complement its restricted human enforcement capability. Jacobs stated enforcement businesses face mounting strain as visitors violations proceed to surge.
“Expertise is changing into ever extra crucial within the enforcement area, as there merely isn’t the human sources to reply to the various calls for on the Metropolis’s companies,” he stated.
Town presently operates roughly 77 static velocity cameras, alongside cell speed-trapping operations in high-risk areas.
In line with Jacobs, the usage of expertise has already produced tangible enforcement outcomes. In a single latest case, authorities used surveillance instruments to arrest three suspects, together with two taxi drivers with practically 80 excellent warrants value greater than R300,000 ($17,700).
Town recorded greater than 2.7 million visitors offences within the earlier monetary yr, though officers consider the precise variety of violations is probably going increased.
Distracted driving stays a persistent danger
South Africa banned texting or utilizing handheld cellphones whereas driving underneath the Nationwide Highway Visitors Rules in 2011. Cape City has been among the many most aggressive municipalities in implementing these guidelines, with native by-laws permitting for the impoundment of cellphones used illegally behind the wheel.
Over the previous 4 years, nonetheless, Jacobs stated the town has recorded a decline in cellphone impoundments and fines. He attributed this development partly to elevated compliance amongst drivers and the widespread adoption of hands-free expertise in newer autos.
“The phenomenon of distracted driving continues to be a problem, however the downturn in statistics does counsel that some drivers have heeded our appeals to not use their cellphones whereas driving,” Jacobs stated.
International regulation is diverging
Cape City’s wait-and-see strategy mirrors international regulatory fragmentation round AI surveillance. The European Union’s AI Act bans most types of real-time facial recognition in public areas, reflecting sturdy privateness protections. China’s 2025 rules restrict biometric surveillance in delicate areas akin to inns and loos, whereas nonetheless permitting intensive public monitoring.
The US, in contrast, has no complete federal AI surveillance legislation. As a substitute, states akin to Illinois require express consent earlier than amassing or utilizing facial recognition information.
For Cape City, the subsequent step will rely largely on whether or not South African prosecutors contemplate AI-assisted visitors detection legally defensible. If permitted, the expertise may considerably develop automated visitors enforcement and assist tackle useful resource constraints.
For now, the town is signalling that whereas AI might finally turn into a central a part of highway security enforcement, its large-scale deployment will hinge on authorized readability and public belief.
“Accomplished rigorously, AI-powered cameras can enhance security and consistency. Accomplished poorly, they danger normalising opaque surveillance and weakens belief in enforcement methods,” stated Bowan.
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