From the 27th of October, Sindh authorities and Traffic Police implemented an AI- driven E-Challan system across Karachi. The new system is named TRACS. The cameras are placed to catch violations of speeding, red-light jumps and no-helmet for bike riders. There were thousands of tickets issues in an hour,
Why the city needed it
The accidents in Karachi were increasing and the traffic violations were openly seen. People going on the wrong side and breaking signals became common in Karachi. The violation was going on for years and years. The traffic police and Government wanted to work on it through technology by using less human resources.
Immediate Outcomes
In the first hours and few days of launch 12.5 million of E- Challans were issued. Many people who were coming to Work Hall noticed the cameras being active on Shahrah-e-Faisal while coming to Work Hall PECHS. However, citizens complained that the roads are not suitable for implementing traffic rules.
Public Backlash
Public disquiet was swift. Many Karachiites questioned why fines seemed steep given poor road design, lack of safe pedestrian crossings, and inconsistent signage. The speed limit of 60 Km/h is not suitable according to many drivers, especially on Shahrah-e-Faisal. People also talked about awareness campaigns before implementing them.
Benefits — accountability, data and deterrence
The reliable implementation can help in changing the behavior of the drivers. This can help in the decrease of road accidents. The data can also help reduce street crimes. The still pictures and videos can help in multiple ways.
Risks and limitations
The technology failure is one of the risks, like the additional load time on the app can be a severe risk which can be taken care of by perfect deployment of the tech system.
Privacy, data governance and transparency
AI cameras collect sensitive data: images, plate numbers, timestamps, and movement patterns. Who stores this data, for how long, and who can access it? These are governance questions. Authorities must publish retention policies, and privacy policy plays a main role for the confidence of the people.
Economic impact
E-challan rollouts change the economics of mobility. In the short term they can generate large sums in fines (the immediate issuance totals reported after launch are a case in point). But heavy penalties without graduated scales risk being regressive: a flat or steep fine hits lower-income commuters harder. A balanced approach would pair proportional fines, installment or community-service options, and waivers for genuine cases. We all have seen the TV show Caught in Providence, in which relaxation is given to the general cases.
How to make Karachi’s e-challan system work :
- Transparency and communication Publish where cameras are, what violations are enforced, how fines are calculated, and how to contest a ticket.
- Calibration and testing Run public pilot phases with human verification before full automation; publish error rates and third-party accuracy audits.
- Accessible appeals process A simple web/app portal, human review, and a clear timeline for redress.
- Equitable fines and alternatives Sliding scales, payment plans, or safety education courses for first offenders.
- Invest in roads Coordinate enforcement with engineering fixes: signage, marked lanes, and pedestrian infrastructure.
- Data governance Strict retention limits, access controls, and independent oversight to protect privacy. These steps reduce friction and build public trust.
A moment for policy and civic partnership
The implementation of Cameras is on a mini scale to make people used to it. Some of the violations which are fined globally and internationally are given leverage on right now. The citizens should have rights of appealing to challans they think were not right. Many entrepreneurs at Work Hall expressed that this can turn into an example and can set a perfect civic partnership.
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