Intelligent Facial Recognition System for Vehicles

Hugo Vega-Huerta; Dixon Melgarejo Iturre; Peter Picon Zegarra; Renzo Tinajeros Palomino; Naomi Yupanqui Sanchez; Gisella Luisa Elena Maquen-Niño; Jorge Pantoja-Collantes

doi:10.1007/978-981-97-3859-5_9

Intelligent Facial Recognition System for Vehicles

Hugo Vega-Huerta, Dixon Melgarejo Iturre, Peter Picon Zegarra, Renzo Tinajeros Palomino, Naomi Yupanqui Sanchez, Gisella Luisa Elena Maquen-Niño, Jorge Pantoja-Collantes

Computer and Informatics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Currently, there is a vehicle security issue due to the use of unauthorized individuals or vehicle theft. This project aims to develop an intelligent system that utilizes facial recognition technology to identify authorized individuals with access to a vehicle. The methodology employed was Scrum, and the programming language used was Python with the use of the face_recognition library. The main results were that the intelligent system successfully extracts the key facial features and compares them with a dataset containing images of authorized individuals, identifying intruders when there is no match. It sends a message to the WhatsApp of the person configured as the vehicle owner, including the vehicle’s location and a photo of the recognized intruder. In conclusion, it can be stated that an intelligent system with facial recognition algorithms allows for the identification of authorized drivers with access to a vehicle, who are previously stored in a dataset.

Original language	English
Title of host publication	Proceedings of 8th ASRES International Conference on Intelligent Technologies - ICIT 2023
Editors	Vipin Kumar Tripathi, Karm Veer Arya, Ciro Rodriguez
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	97-108
Number of pages	12
ISBN (Print)	9789819738588
DOIs	https://doi.org/10.1007/978-981-97-3859-5_9
State	Published - 2025
Event	8th International Conference on Intelligent Technologies, ICIT 2023 - Jakarta, Indonesia Duration: 15 Dec 2023 → 17 Dec 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1031
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	8th International Conference on Intelligent Technologies, ICIT 2023
Country/Territory	Indonesia
City	Jakarta
Period	15/12/23 → 17/12/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Keywords

Artificial intelligence
Facial recognition
Vehicle

Access to Document

10.1007/978-981-97-3859-5_9

Cite this

Vega-Huerta, H., Iturre, D. M., Zegarra, P. P., Palomino, R. T., Sanchez, N. Y., Maquen-Niño, G. L. E., & Pantoja-Collantes, J. (2025). Intelligent Facial Recognition System for Vehicles. In V. K. Tripathi, K. V. Arya, & C. Rodriguez (Eds.), Proceedings of 8th ASRES International Conference on Intelligent Technologies - ICIT 2023 (pp. 97-108). (Lecture Notes in Networks and Systems; Vol. 1031). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-3859-5_9

Vega-Huerta, Hugo ; Iturre, Dixon Melgarejo ; Zegarra, Peter Picon et al. / Intelligent Facial Recognition System for Vehicles. Proceedings of 8th ASRES International Conference on Intelligent Technologies - ICIT 2023. editor / Vipin Kumar Tripathi ; Karm Veer Arya ; Ciro Rodriguez. Springer Science and Business Media Deutschland GmbH, 2025. pp. 97-108 (Lecture Notes in Networks and Systems).

@inproceedings{51c828fb61e74142b31787776817358b,

title = "Intelligent Facial Recognition System for Vehicles",

abstract = "Currently, there is a vehicle security issue due to the use of unauthorized individuals or vehicle theft. This project aims to develop an intelligent system that utilizes facial recognition technology to identify authorized individuals with access to a vehicle. The methodology employed was Scrum, and the programming language used was Python with the use of the face_recognition library. The main results were that the intelligent system successfully extracts the key facial features and compares them with a dataset containing images of authorized individuals, identifying intruders when there is no match. It sends a message to the WhatsApp of the person configured as the vehicle owner, including the vehicle{\textquoteright}s location and a photo of the recognized intruder. In conclusion, it can be stated that an intelligent system with facial recognition algorithms allows for the identification of authorized drivers with access to a vehicle, who are previously stored in a dataset.",

keywords = "Artificial intelligence, Facial recognition, Vehicle",

author = "Hugo Vega-Huerta and Iturre, {Dixon Melgarejo} and Zegarra, {Peter Picon} and Palomino, {Renzo Tinajeros} and Sanchez, {Naomi Yupanqui} and Maquen-Ni{\~n}o, {Gisella Luisa Elena} and Jorge Pantoja-Collantes",

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doi = "10.1007/978-981-97-3859-5_9",

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Vega-Huerta, H, Iturre, DM, Zegarra, PP, Palomino, RT, Sanchez, NY, Maquen-Niño, GLE & Pantoja-Collantes, J 2025, Intelligent Facial Recognition System for Vehicles. in VK Tripathi, KV Arya & C Rodriguez (eds), Proceedings of 8th ASRES International Conference on Intelligent Technologies - ICIT 2023. Lecture Notes in Networks and Systems, vol. 1031, Springer Science and Business Media Deutschland GmbH, pp. 97-108, 8th International Conference on Intelligent Technologies, ICIT 2023, Jakarta, Indonesia, 15/12/23. https://doi.org/10.1007/978-981-97-3859-5_9

Intelligent Facial Recognition System for Vehicles. / Vega-Huerta, Hugo; Iturre, Dixon Melgarejo; Zegarra, Peter Picon et al.
Proceedings of 8th ASRES International Conference on Intelligent Technologies - ICIT 2023. ed. / Vipin Kumar Tripathi; Karm Veer Arya; Ciro Rodriguez. Springer Science and Business Media Deutschland GmbH, 2025. p. 97-108 (Lecture Notes in Networks and Systems; Vol. 1031).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Intelligent Facial Recognition System for Vehicles

AU - Vega-Huerta, Hugo

AU - Iturre, Dixon Melgarejo

AU - Zegarra, Peter Picon

AU - Palomino, Renzo Tinajeros

AU - Sanchez, Naomi Yupanqui

AU - Maquen-Niño, Gisella Luisa Elena

AU - Pantoja-Collantes, Jorge

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

PY - 2025

Y1 - 2025

N2 - Currently, there is a vehicle security issue due to the use of unauthorized individuals or vehicle theft. This project aims to develop an intelligent system that utilizes facial recognition technology to identify authorized individuals with access to a vehicle. The methodology employed was Scrum, and the programming language used was Python with the use of the face_recognition library. The main results were that the intelligent system successfully extracts the key facial features and compares them with a dataset containing images of authorized individuals, identifying intruders when there is no match. It sends a message to the WhatsApp of the person configured as the vehicle owner, including the vehicle’s location and a photo of the recognized intruder. In conclusion, it can be stated that an intelligent system with facial recognition algorithms allows for the identification of authorized drivers with access to a vehicle, who are previously stored in a dataset.

AB - Currently, there is a vehicle security issue due to the use of unauthorized individuals or vehicle theft. This project aims to develop an intelligent system that utilizes facial recognition technology to identify authorized individuals with access to a vehicle. The methodology employed was Scrum, and the programming language used was Python with the use of the face_recognition library. The main results were that the intelligent system successfully extracts the key facial features and compares them with a dataset containing images of authorized individuals, identifying intruders when there is no match. It sends a message to the WhatsApp of the person configured as the vehicle owner, including the vehicle’s location and a photo of the recognized intruder. In conclusion, it can be stated that an intelligent system with facial recognition algorithms allows for the identification of authorized drivers with access to a vehicle, who are previously stored in a dataset.

KW - Artificial intelligence

KW - Facial recognition

KW - Vehicle

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M3 - Conference contribution

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SN - 9789819738588

T3 - Lecture Notes in Networks and Systems

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BT - Proceedings of 8th ASRES International Conference on Intelligent Technologies - ICIT 2023

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A2 - Arya, Karm Veer

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PB - Springer Science and Business Media Deutschland GmbH

T2 - 8th International Conference on Intelligent Technologies, ICIT 2023

Y2 - 15 December 2023 through 17 December 2023

ER -

Vega-Huerta H, Iturre DM, Zegarra PP, Palomino RT, Sanchez NY, Maquen-Niño GLE et al. Intelligent Facial Recognition System for Vehicles. In Tripathi VK, Arya KV, Rodriguez C, editors, Proceedings of 8th ASRES International Conference on Intelligent Technologies - ICIT 2023. Springer Science and Business Media Deutschland GmbH. 2025. p. 97-108. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-97-3859-5_9

Intelligent Facial Recognition System for Vehicles

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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