The Development of Artificial Intelligence Systems for Automobile Bumper Systems to Reduce Impact Energy Caused by Collisions and to Control the Percentage of Damage Caused by Passengers and Vehicles

Authors

  • Sagar Parashuram Dhamone Department of Mechanical Engineering, KLS’s Gogte Institute of Technology, Belagavi, India, Affiliated to Visvesvaraya Technological University Belagavi – 590006, INDIA
  • Arunkumar Padmakumar Associate Professor in the Department of Mechanical Engineering, KLS’s Gogte Institute of Technology, BelagavI – 590006, INDIA

Keywords:

Artificial intelligence systems, Automobile front bumper systems, controller, Design, Simulation

Abstract

Research mainly focuses on the development of sustainable automobile front bumper intelligence systems that absorb maximum impact energy and reduce the damage caused by collisions with less weight and high strength, to develop he has come across material selection, Design, simulation, experimental testing, and validation. We also have implemented an artificial intelligence system inside the bumper system that senses the coming optical such as object, speed, direction, and force coming in contact with the vehicle and gives an alert to the driver in the form of the horn so the driver controls the situation., A collision sensor is fixed in the outer body of the bumper system and is used to detect or "sense" the obstructions coming into contact with the vehicle, Further signal is transferred to the controller, and the Display or buzzer A simple flow chart is plotted with programming algorithm is an effective way of demonstrating the Machine Learning capabilities to be used in AI controlling the impacts energy.

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Published

25.12.2023

How to Cite

Dhamone, S. P. ., & Padmakumar, A. . (2023). The Development of Artificial Intelligence Systems for Automobile Bumper Systems to Reduce Impact Energy Caused by Collisions and to Control the Percentage of Damage Caused by Passengers and Vehicles. International Journal of Intelligent Systems and Applications in Engineering, 12(1), 62–69. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3676

Issue

Vol. 12 No. 1 (2024)

Section

Research Article

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