An Intelligent Robotic Access Control System for High-Security Applications

Abstract - Manual verification procedures used in many restricted and high-security areas are often inefficient and susceptible to human errors, leading to delays and security concerns. This work presents a Smart Vehicle Entry Management System that combines a robotic arm, a high-resolution camera, Optical Character Recognition (OCR), and real-time image processing to automate the entry verification process. The robotic arm enables precise positioning of the camera for capturing the vehicle license plate, driver's face, and identification documents. A voice input module is also incorporated to record the purpose of entry. The acquired information is stored digitally, improving traceability and eliminating the limitations associated with manual record maintenance. Experimental results indicate that the proposed system reduces entry processing time while providing reliable vehicle and driver identification, thereby enhancing both operational efficiency and security.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-25
DOI
https://doi.org/10.5281/zenodo.20844467
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
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article

An Intelligent Robotic Access Control System for High-Security Applications

Juniyad Tamboli, Baliram Deshmukh, Payal Patil, Siddharth Raut, Sakshi Pimpale
Zenodo (CERN European Organization for Nuclear Research)
Vehicle License Plate Recognition
article

An Intelligent Robotic Access Control System for High-Security Applications

Juniyad Tamboli, Baliram Deshmukh, Payal Patil, Siddharth Raut, Sakshi Pimpale
article en

Abstract

Abstract - Manual verification procedures used in many restricted and high-security areas are often inefficient and susceptible to human errors, leading to delays and security concerns. This work presents a Smart Vehicle Entry Management System that combines a robotic arm, a high-resolution camera, Optical Character Recognition (OCR), and real-time image processing to automate the entry verification process. The robotic arm enables precise positioning of the camera for capturing the vehicle license plate, driver's face, and identification documents. A voice input module is also incorporated to record the purpose of entry. The acquired information is stored digitally, improving traceability and eliminating the limitations associated with manual record maintenance. Experimental results indicate that the proposed system reduces entry processing time while providing reliable vehicle and driver identification, thereby enhancing both operational efficiency and security.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Vehicle License Plate Recognition
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An Intelligent Robotic Access Control System for High-Security Applications — Juniyad Tamboli, Baliram Deshmukh, Payal Patil, Siddharth Raut, Sakshi Pimpale · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS