The Goa government’s decision to operationalise the AI-powered traffic cameras at 26 major junctions across the State signals a decisive shift towards technology-driven traffic management. At a time when road accidents, traffic violations and indiscipline on the roads are becoming increasingly common, the move reflects an acknowledgement that traditional enforcement methods alone are no longer sufficient, an argument that has been raised consistently by this newspaper.
Automated surveillance holds promise for several reasons, but it is to be seen how effectively the authorities address the practical challenges that come with such systems. Technology has proven that it can transform road safety, although it will take a while. Cameras equipped with Automatic Number Plate Recognition (ANPR) and artificial intelligence can detect violations with a level of consistency that manual enforcement often struggles to achieve. Jumping traffic signals, riding without helmets, triple-seating on two-wheelers, and using defective or tampered number plates can be automatically identified and challaned without the physical presence of police.
For a state like Goa, where traffic personnel are often stretched thin, and vehicle density is rising, such systems can become an invaluable tool to rein in discipline. More importantly, automated enforcement removes much of the subjectivity associated with roadside checks, helping ensure that violations are recorded and penalised uniformly. Real-time monitoring can also help authorities understand traffic patterns and improve management. Over time, the data generated by these systems can assist in taking informed decisions on public safety measures.
The ability to respond quickly to emergencies is another significant advantage. If accidents, stalled vehicles or dangerous driving behaviour are detected instantly, emergency services can be alerted faster, potentially reducing the severity of injuries and saving lives. In that sense, these cameras can serve not merely as surveillance tools but as an important component of a integrated transport network.
However, there are challenges, as earlier trials have reported glitches raising legitimate concerns. Instances of newly registered vehicles reportedly receiving challans for pollution certificates that were not yet due illustrate how even minor software errors can create major inconvenience for citizens. Such mistakes undermine confidence in the system and fuel scepticism about automated enforcement. Technical reliability remains critical. A camera network is only as effective as the software and infrastructure supporting it.
System failures, inaccurate readings or even delayed challans can create unnecessary disputes. Technology requires attention, monitoring and upgrades to meet the growing requirements, and hence the Transport Department must be ready to deal with issues that come along. Also, there could be privacy issues, and hence it is incumbent on the government to ensure that the footage is secured.
Goa has recorded 851 road accidents in April 2026, marking a 6.8% increase from the 797 mishaps reported in April 2025. Over 92% of these crashes were attributed to rash and negligent driving. Speeding, dangerous overtaking, drunk driving and disregard for traffic rules have become far too common. Traffic police have struggled to keep pace with violations, and hence AI-powered traffic surveillance appears to be the way forward. The mere presence of surveillance can act as a powerful deterrent, and it is visible at the few places where such cameras were operational. Drivers are more likely to obey traffic rules when they know violations are being recorded and penalties are unavoidable.
Technology alone may not help solve Goa’s traffic problems, but it surely is a big and positive step forward. That said, public confidence will ultimately depend not on the sophistication of the technology but on whether it is accurate and accountable. If those standards are maintained, Goa could see safer roads in the days to come.
