The Dhaka Metropolitan Police have installed an artificial-intelligence-based traffic surveillance system using smart cameras to automatically detect road violations [1, 2].
This deployment represents a shift toward automated enforcement in a city known for extreme congestion. By removing human error and manual monitoring, the system aims to reduce rule-breaking and instill greater traffic discipline across the capital's major intersections [2, 3].
The AI-powered cameras are designed to monitor roads more efficiently than traditional methods [2, 3]. These units can identify specific traffic infractions in real-time, allowing the police to issue penalties without requiring a physical officer at every single junction [1, 2].
Despite the technological upgrade, the rollout has faced immediate physical security challenges. A newly installed camera was reported stolen April 25, 2024 [1]. This incident highlights the vulnerability of high-tech infrastructure when deployed in high-traffic urban environments.
The system became operational in early 2024 as part of a broader effort to modernize urban management [1, 2]. The Dhaka Metropolitan Police are utilizing the technology to target the most problematic intersections where congestion is highest [1].
City officials intend for the automated system to create a deterrent effect. When drivers know that AI is monitoring their behavior, the likelihood of lane jumping and signal jumping decreases, potentially easing the flow of traffic for all commuters [2, 3].
“The system aims to reduce rule-breaking and instill greater traffic discipline.”
The integration of AI surveillance in Dhaka reflects a growing global trend of 'smart city' enforcement to manage urban chaos. However, the theft of equipment shortly after installation suggests that technological solutions must be paired with physical security and public cooperation to be sustainable in volatile urban settings.
