November 2025
Beginner to intermediate
512 pages
12h 57m
English
book
Applied Computer Vision through Artificial Intelligence
by Jasminder Kaur Sandhu, Abhishek Kumar, Rakesh Sahu, Sachin Ahuja
Content preview from Applied Computer Vision through Artificial Intelligence
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7RFID and Computer Vision-Enhanced Automotive Authentication Verification System
V. Vidya Lakshmi1*, Sowmya M. B.2, Archanaa R.2, Shreenidhi G.2 and Naveena R.2
1Department of Electronics and Communication Engineering, R.M.K. Engineering College, Kavaraipettai, Tiruvallur, Tamil Nadu, India
2Department of Electronics and Communication Engineering, Velammal Engineering College, Chennai, Tamil Nadu, India
Abstract
The “RFID-enhanced automotive verification system” is a groundbreaking solution that combines radio-frequency identification (RFID) technology, computer vision and the Engine Control Unit (ECU) to ensure the authenticity of replaced electronic components in vehicles. Each component is equipped with a unique RFID tag, enabling secure identification. When a replacement occurs, the ECU reads the RFID tag’s data, which includes the component’s unique identifier. This data is transmitted to a central server for immediate verification. Users can easily verify authenticity via a mobile app, fostering trust and transparency in the automotive service industry. This system enhances vehicle safety, customer satisfaction, and the integrity of auto services, setting new standards for authenticity assurance.
Keywords: RFID, ECU, automobile, authentication, safety, computer vision
7.1 Introduction
The automotive industry has transformed over the years, where electronic control units (ECUs) have become an integral part of automotive performance and safety. These changes have paved ...
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