Driver Drowsy Detection with IoT-Based Vehicle Control System

Authors

  • Ms M Vineela Associate Professor, Department Of Cse, Bhoj Reddy Engineering College For Women, India. Author
  • A Ahalya, Ch Aishwarya Laxmi B. Tech Students, Department Of Cse, Bhoj Reddy Engineering College For Women, India. Author

Keywords:

Blockchain, Crime Evidence, Digital Forensics, IPFS, Ethereum, Smart Contracts, Flask, Chain of Custody, MetaMask

Abstract

The secure management of digital crime evidence is a cornerstone of modern forensic science and legal proceedings. Current systems are plagued by vulnerabilities, data loss, and tampering due to their centralized architecture and manual handling. This paper presents a robust decentralized framework for Crime Evidence Management using Blockchain and InterPlanetary File System (IPFS). By leveraging Ethereum smart contracts for immutable logging and IPFS for secure file storage, the proposed system ensures evidence integrity, transparency, and traceability throughout its lifecycle.
The solution supports multiple stakeholders, including forensic lab incharges, doctors, sub-inspectors, and court clerks, by providing role-based access, tamper-proof records, and real-time updates. Developed using Flask (Python), Solidity, Ganache, and MetaMask, the application enables secure registration, evidence upload, validation, and court submission, with no risk of unauthorized data modification. Extensive testing demonstrated the system’s reliability and scalability across forensic workflows. This work contributes to digital forensics by introducing a scalable, secure, and legally compliant platform for managing digital evidence.

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Published

2025-06-10

Issue

Section

Articles

How to Cite

Driver Drowsy Detection with IoT-Based Vehicle Control System. (2025). International Journal of Engineering and Science Research, 15(3s), 273-278. https://www.ijesr.org/index.php/ijesr/article/view/154

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