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PROJECT / 003
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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