PHYSICAL FITNESS DETECTOR FOR SELECTION IN DEFENSE DEPARTMENTS

  • Unique Paper ID: 197642
  • Volume: 12
  • Issue: 11
  • PageNo: 6466-6477
  • Abstract:
  • Physical fitness plays a crucial role in defense-based job selection, where candidates are required to meet specific health and fitness standards. Traditional physical fitness evaluation methods are often time-consuming, manual, and prone to human error, especially during large-scale recruitment processes. This project, titled “Physical Fitness Detector for Selection in Defense Departments,” aims to automate the preliminary screening process by accurately measuring the basic physical parameters of candidates. The proposed system measures a candidate’s height using an ultrasonic sensor and weight using a load cell interfaced with an HX711 module. Based on these measurements, the system automatically calculates the Body Mass Index (BMI), which is used as a key indicator to assess the physical fitness level of the candidate. The calculated BMI is then compared with predefined defense recruitment standards, and the candidate’s eligibility status is displayed as “Selected” or “Rejected.” “This automated approach minimizes human intervention, reduces evaluation time, and improves accuracy and fairness in the selection process. The system can be effectively deployed in defense recruitment camps and physical fitness examination centers, thereby enhancing operational efficiency and ensuring uniform assessment of candidates’ physical fitness.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{197642,
        author = {SHERLEY SUZANE TREMOT and NIVETHA B and KAVITHA M and VITHIYA R},
        title = {PHYSICAL FITNESS DETECTOR FOR SELECTION IN DEFENSE DEPARTMENTS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6466-6477},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197642},
        abstract = {Physical fitness plays a crucial role in defense-based job selection, where candidates are required to meet specific health and fitness standards. Traditional physical fitness evaluation methods are often time-consuming, manual, and prone to human error, especially during large-scale recruitment processes. This project, titled “Physical Fitness Detector for Selection in Defense Departments,” aims to automate the preliminary screening process by accurately measuring the basic physical parameters of candidates. The proposed system measures a candidate’s height using an ultrasonic sensor and weight using a load cell interfaced with an HX711 module. Based on these measurements, the system automatically calculates the Body Mass Index (BMI), which is used as a key indicator to assess the physical fitness level of the candidate. The calculated BMI is then compared with predefined defense recruitment standards, and the candidate’s eligibility status is displayed as “Selected” or “Rejected.” “This automated approach minimizes human intervention, reduces evaluation time, and improves accuracy and fairness in the selection process. The system can be effectively deployed in defense recruitment camps and physical fitness examination centers, thereby enhancing operational efficiency and ensuring uniform assessment of candidates’ physical fitness.},
        keywords = {Physical Fitness Detection, Body Mass Index (BMI), Arduino UNO ATmega328P, Ultrasonic Sensor, Load Cell, HX711 Module, Defense Recruitment System, Automated Fitness Evaluation, Embedded System, Sensor-Based Measurement System.},
        month = {April},
        }

Cite This Article

TREMOT, S. S., & B, N., & M, K., & R, V. (2026). PHYSICAL FITNESS DETECTOR FOR SELECTION IN DEFENSE DEPARTMENTS. International Journal of Innovative Research in Technology (IJIRT), 12(11), 6466–6477.

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