EDGE-V: Edge AI for Intelligent Vehicular Systems
IEEE Vehicular Technology Society (VTS)
GITAM University – Bengaluru Student Branch
EDGE-V: Edge AI for Intelligent Vehicular Systems
Hands-on Workshop on Embedded Vision & Edge Machine Learning
EDGE-V: Edge AI for Intelligent Vehicular Systems is an interactive, hands-on IEEE VTS technical event focused on Edge Machine Learning for vehicular and transportation applications.
Participants will work with ESP32-CAM (AI Thinker) modules and an ESP32 development board to deploy lightweight machine learning models directly on embedded hardware. The event demonstrates how real-time vehicular perception and decision-making can be achieved at the edge without relying on cloud computation.
The session includes live demonstrations, guided hands-on implementation, and a mini challenge where teams optimize vision-based detection logic for intelligent transportation scenarios such as vehicle detection or emergency vehicle recognition.
The event strongly aligns with IEEE Vehicular Technology Society domains, including intelligent transportation systems, vehicular sensing, ADAS concepts, and edge intelligence for smart mobility.
Date and Time
Location
Hosts
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- NH 207, Nagadenehalli, taluk, Doddaballapura, Bengaluru, Karnataka 561203
- Kojo Hall, Shivaji Bhavan, Ground Floor, GITAM Bengaluru
- Bengaluru, Karnataka
- India 561203
- Building: Shivaji Bhavan GITAM University
- Room Number: Kojo Hall
- Click here for Map
Speakers
Poorna Chand Pandigunta of GITAM University – Bengaluru
Edge AI for Intelligent Vehicular Systems
An introductory and hands-on session on Edge Artificial Intelligence for vehicular and intelligent transportation applications, focusing on embedded vision and real-time inference using ESP32-CAM platforms.
Biography:
Poorna Chand Pandigunta is an IEEE student member and an active contributor to technical and professional activities at GITAM University, Bengaluru. His interests include Embedded Systems, Internet of Things (IoT), Edge Artificial Intelligence, and Intelligent Transportation Systems.
He is actively involved in organizing and delivering hands-on technical workshops aligned with IEEE Vehicular Technology Society (VTS) focus areas. His work emphasizes practical learning through embedded platforms, real-time sensing, and machine learning applications for smart mobility and vehicular systems.
Email:
Address:GITAM University – Bengaluru Campus, , Bengaluru, Karnataka, India, 561203
Agenda
• Introduction to Edge AI and Vehicular Intelligence
• Overview of ESP32-CAM and Embedded Vision Systems
• Edge Machine Learning for Transportation Applications
• Live Demonstration: Vision-Based Detection
• Hands-on Session with ESP32-CAM
• Mini Challenge: Optimizing Vehicular Detection Logic
• Wrap-up and IEEE VTS Overview
Organized by:
IEEE Vehicular Technology Society (VTS)
GITAM University – Bengaluru Student Branch
For academic and technical learning purposes only.