Punjab Deploys AI E-Challan System in Khanewal

The Punjab Safe Cities Authority has launched an AI-based e-challan system in Khanewal, making automated traffic violation detection and electronic ticketing operational across the city. The platform is integrated with existing Safe City camera feeds and is being promoted to improve enforcement efficiency and road safety.

The deployment centers on computer-vision models trained to identify common traffic offences such as over-speeding, lane violations, and other moving-vehicle breaches. Detection runs on the Safe City camera network and triggers automated evidence collection, timestamped imagery, and generation of electronic challans for registered vehicles. Key implementation notes for practitioners:

• •Automated detection of speeding, lane violations, and signal-jumping from camera feeds
• •Evidence capture pipeline that links stills/video to vehicle registration databases for challan issuance
• •Reduced reliance on manual patrols, with enforcement workflow automation and digital notifications

This rollout follows a broader trend of municipal governments adopting AI for traffic management and public-safety operations. For ML teams, the practical lessons are in domain adaptation: models must handle local lighting, plate styles, occlusion, and two-wheeler/high-density traffic common in South Asian cities. Operationalizing such systems requires robust OCR/ANPR performance, drift monitoring, edge-versus-cloud inference trade-offs, and procedures for human review to limit false positives.

Expect pressure points around false positives, contestation and appeals, data retention, and privacy. Successful deployments pair detection models with calibrated thresholds, audit logs, and transparent dispute resolution channels. Performance metrics city officials should publish include precision/recall on violation classes and average time-to-adjudication.

Monitor reported accuracy rates, integration with payment and legal workflows, and whether Punjab scales the system to additional districts. Also watch governance moves: transparency on data retention, model audits, and citizen appeal mechanisms.