Uniform Detection Using Deep Learning

Uniform Detection Using Deep Learning applies computer vision techniques to identify and classify uniforms like identification cards through CNNs. ID cards are important for the proper identification of persons in any organization, making it easier and fast to determine their association with the institution. This paper focuses on detecting and authenticating individuals along with their respective ID cards. By determining whether a person is wearing their assigned ID card, the system ensures that only authorized individuals gain access to the institution's premises. It also verifies the individual’s affiliation, enhancing security and minimizing the risk of unauthorized entry. Besides security, the system includes an attendance tracking feature, allowing educational institutions to manage and monitor attendance records efficiently. The automation of this process reduces manual intervention, eliminates errors, and improves operational efficiency. The real-time detection and authentication capabilities make the system an invaluable tool for environments where ID cards are mandatory. This solution improves security while making everyday business processes much easier. Future expansion may include sophisticated tracking features and interfaces with other security systems, which makes it a complete tool for efficient and secure management.

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Publication Details

Journal
Global Journal of Engineering Innovations and Interdisciplinary Research
Published
2025-06-27
DOI
https://doi.org/10.33425/3066-1226.1126
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Uniform Detection Using Deep Learning

Kumar Laxman, E Harini, Naresh Challa, Manideep Ch
Global Journal of Engineering Innovations and Interdisciplinary Research
Industrial Vision Systems and Defect Detection
article

Uniform Detection Using Deep Learning

Kumar Laxman, E Harini, Naresh Challa, Manideep Ch
article en

Abstract

Uniform Detection Using Deep Learning applies computer vision techniques to identify and classify uniforms like identification cards through CNNs. ID cards are important for the proper identification of persons in any organization, making it easier and fast to determine their association with the institution. This paper focuses on detecting and authenticating individuals along with their respective ID cards. By determining whether a person is wearing their assigned ID card, the system ensures that only authorized individuals gain access to the institution's premises. It also verifies the individual’s affiliation, enhancing security and minimizing the risk of unauthorized entry. Besides security, the system includes an attendance tracking feature, allowing educational institutions to manage and monitor attendance records efficiently. The automation of this process reduces manual intervention, eliminates errors, and improves operational efficiency. The real-time detection and authentication capabilities make the system an invaluable tool for environments where ID cards are mandatory. This solution improves security while making everyday business processes much easier. Future expansion may include sophisticated tracking features and interfaces with other security systems, which makes it a complete tool for efficient and secure management.

Global Journal of Engineering Innovations and Interdisciplinary ResearchVol. 5(4)
Indian Institute of Technology Hyderabad (IN)
Openalex Percentile: Top 74%
Industrial Vision Systems and Defect Detection
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Uniform Detection Using Deep Learning — Kumar Laxman, E Harini, et al. · Global Journal of Engineering Innovations and Interdisciplinary Research (2025) | TGRS Research Map | TGRS