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AI/MLEmbedded

Intelligent Traffic Monitoring for Real-Time Vehicle Tracking in Smart Cities

Best Paper Award — ICDSBS 2026 (IEEE Madras & Singapore Sections).

YOLOv8MobileNetV2Computer VisionEmbedded Systems

Overview

Co-authored and presented at the 3rd International Conference on Data Science and Business Systems (ICDSBS 2026), organized with IEEE Madras & Singapore Sections at SRM Institute of Science and Technology — received the Best Paper Award.

My Role

Co-author — applied computer vision models and embedded integration for adaptive signal control.

Status

Research

The Problem

Static traffic-signal timing doesn't respond to real conditions, and smart-city vehicle-tracking systems need to run detection fast enough to drive live signal decisions.

The Solution

  • Applied YOLOv8 and MobileNetV2 for real-time vehicle detection and classification.
  • Integrated detection output with embedded systems to drive adaptive, traffic-responsive signal management for smart-city deployment.

Results & Metrics

Best Paper Award, ICDSBS 2026

Recognition

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