DESIGN AND IMPLEMENTATION OF A REAL-TIME INTELLIGENT BARRIER GATE SYSTEM USING RASPBERRY PI AND IP CAMERA FOR VEHICLE ACCESS CONTROL

This paper presents a comprehensive approach to designing and implementing an intelligent vehicle access control system using license plate recognition (LPR) technology. The proposed solution leverages the computational capabilities of Raspberry Pi and the visual coverage of an IP camera to enable automated barrier gate operation. By integrating image processing, optical character recognition (OCR), and servo motor control, the system offers a real-time, cost-effective, and scalable infrastructure for monitoring and controlling vehicle entry. Applications in residential, commercial, and high-security environments are explored, and performance metrics including accuracy, latency, and reliability are analyzed.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-06
DOI
https://doi.org/10.5281/zenodo.15349114
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
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article

DESIGN AND IMPLEMENTATION OF A REAL-TIME INTELLIGENT BARRIER GATE SYSTEM USING RASPBERRY PI AND IP CAMERA FOR VEHICLE ACCESS CONTROL

Zenodo (CERN European Organization for Nuclear Research)
Vehicle License Plate Recognition
article

DESIGN AND IMPLEMENTATION OF A REAL-TIME INTELLIGENT BARRIER GATE SYSTEM USING RASPBERRY PI AND IP CAMERA FOR VEHICLE ACCESS CONTROL

article en

Abstract

This paper presents a comprehensive approach to designing and implementing an intelligent vehicle access control system using license plate recognition (LPR) technology. The proposed solution leverages the computational capabilities of Raspberry Pi and the visual coverage of an IP camera to enable automated barrier gate operation. By integrating image processing, optical character recognition (OCR), and servo motor control, the system offers a real-time, cost-effective, and scalable infrastructure for monitoring and controlling vehicle entry. Applications in residential, commercial, and high-security environments are explored, and performance metrics including accuracy, latency, and reliability are analyzed.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Vehicle License Plate Recognition
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