PID-CONTROLLED HUMAN DETECTION ROBOT WITH VISUAL PROCESSING ON ALPHABOT-2

Authors

  • Hoang-Thong Nguyen Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Quoc-Thang Vo Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Minh-Thiet Le Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Cong-Tuan Truong Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Duy-Dat Tran Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Cong-Hoang-Anh Pham Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Huu-Tai Cao Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Gia-Bao Lam Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Hoang-Anh Truong Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Le-Bao-Luan Tran Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Hoang-Quang-Minh Nguyen Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Le-Hoang-Viet Nguyen Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam
  • Thi-Hong-Lam Le Ho Chi Minh City (HCMC) University of Technology and Education (HCMUTE), HCMC, Vietnam

DOI:

https://doi.org/10.51630/ijes.v6i2.176

Abstract

This paper presents a human detection and alert robot system based on the AlphaBot2 platform and Raspberry Pi. The system employs a camera with a HOG-based human detection algorithm to locate the target within the frame and uses an ultrasonic sensor to measure the distance to the person. Based on the horizontal offset between the person and the frame centre, the PID controller adjusts the speeds of two DC motors to guide the robot smoothly and steadily toward the person. When the robot reaches a predefined distance from the detected human target, a buzzer is triggered. Through experiments, the effectiveness of the image processing and PID algorithm is evaluated, and optimal parameter values are identified for the system.

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Published

2025-06-08

How to Cite

Nguyen, H.-T., Vo, Q.-T., Le, M.-T., Truong, C.-T., Tran, D.-D., Pham, C.-H.-A., … Le, T.-H.-L. (2025). PID-CONTROLLED HUMAN DETECTION ROBOT WITH VISUAL PROCESSING ON ALPHABOT-2. Indonesian Journal of Engineering and Science, 6(2), 105–123. https://doi.org/10.51630/ijes.v6i2.176