Page 21 - TT mag Sept 2025 Digital Edition

ITS

Video Security as a Service (VSaaS) this commitment to technological traffic buildup began, helping guide
platform provides cloud-based transformation. decisions about which areas to
infrastructure that eliminates the Smart City Initiatives under India’s prioritise.
need for extensive on-premises ambitious Smart Cities Mission utilise
hardware investments. This AI-driven video analytics as core Intelligent signal management
approach proves particularly valuable systems have demonstrated
for traffic authorities managing infrastructure components. These measurable improvements in traffic
multiple jurisdictions or those initiatives create integrated urban flow, with some implementations
seeking to implement advanced management systems where traffic reporting congestion reductions of
intelligence connects with broader
analytics without substantial capital city operations, from emergency 20-30% during peak hours. These
expenditure. improvements translate directly into
services to environmental monitoring. reduced fuel consumption, lower
Face Recognition Systems (FRS) Highway Authorities and Toll emissions, and improved economic
enable authorities to detect, match, Operators deploy these systems for productivity. AI analytics also provide
and track individuals in real time monitoring long-distance corridors, traffic authorities with comprehensive
and extending the same precision managing electronic toll collection data about traffic patterns, violation
to offline forensic searches. This and ensuring highway safety. trends and infrastructure utilisation.
capability not only helps in tracing This information enables evidence-
repeat violators and linking them NHAI and state highway based policy decisions and strategic
across incidents but also strengthens departments are increasingly infrastructure planning.
post-event investigations with adopting AI-powered analytics to
reliable, evidence-grade identity manage India’s expanding highway Although requiring initial
records bringing speed, accuracy, network. Private infrastructure investment, AI-driven systems
and accountability to traffic developers implementing smart demonstrate superior cost-
enforcement. township projects and commercial effectiveness compared to traditional
complexes integrate AI-driven
FRS in traffic applications extend traffic management as essential manual monitoring approaches.
beyond traditional identification, infrastructure components, ensuring Automated systems eliminate the
enabling advanced applications like sustainable mobility within their need for extensive human resources
helmet detection for two-wheeler developments. while providing more comprehensive
safety, driver behaviour analysis coverage and higher accuracy.
and integration with violation The implementation of AI-driven Despite the demonstrated
enforcement systems. These video analytics has demonstrated benefits, several practical challenges
capabilities address specific Indian significant positive impacts on road affect the adoption of AI-driven
traffic challenges where personal safety and traffic management video analytics in Indian traffic
safety equipment compliance efficiency across Indian cities such infrastructure. Infrastructure
remains a critical concern. as enforcement and compliance readiness remains a primary
improvements where cities
The transformative potential implementing AI-powered traffic concern. Many Indian cities lack the
of AI-driven video analytics management systems report robust networking infrastructure
extends across multiple industry substantial increases in violation required for comprehensive video
verticals, each presenting unique detection and enforcement analytics deployment. Power supply
opportunities for enhancing traffic effectiveness. Automated systems inconsistencies and connectivity
safety and efficiency. Government operate continuously without limitations in certain areas require
Traffic Authorities represent the human fatigue, ensuring consistent strategic planning and phased
primary adopters, leveraging these monitoring and immediate violation implementation approaches.
technologies for comprehensive identification.
traffic management. State and Integration complexity with
municipal traffic departments are There is optimisation in response existing traffic management systems
implementing AI-powered systems time. AI systems enable traffic presents technical challenges. Legacy
to monitor traffic violations, authorities to identify incidents systems often lack the APIs and data
optimise signal timing and within seconds rather than minutes, standards necessary for seamless
coordinate emergency responses. dramatically improving emergency integration with AI-powered
Delhi government’s initiatives to response coordination. Advanced analytics platforms. This challenge
revolutionise the Integrated Traffic tools can rate congestion on a necessitates careful vendor selection
Management System (ITMS) through severity scale and make predictions and implementation strategies that
advanced video analytics exemplifies about queue length and when prioritise interoperability.

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