Design of a Multidimensional Intelligent Safety Driving Monitoring System Based on Machine Vision

Authors

  • Haisheng Song
  • Xiangbo Yun
  • Li Wang
  • Zixu Niu
  • Zexia Li
  • Jingwen Ma

DOI:

https://doi.org/10.54097/yc2hj247

Keywords:

Millimeter-wave radar; Arduino Uno; Alcohol sensor; Machine vision technology.

Abstract

This study introduces a multidimensional driving safety monitoring system that integrates millimeter-wave radar and an Arduino Uno-based alcohol sensor. The system aims to enhance driving safety and prevent accidents by real-time monitoring and analysis of the driving environment, driver's condition, and vehicle dynamics using machine vision technology. Utilizing millimeter-wave radar, the system precisely detects obstacles and pedestrians around the vehicle, facilitating efficient distance and speed measurements to support automatic emergency braking and collision warnings. Additionally, the Arduino Uno-based alcohol sensor monitors the driver's breath for alcohol concentration, ensuring the driver is in a suitable state for driving. Combined with machine vision technology, the system further analyzes video stream data from inside and outside the cockpit, monitoring driver behavior and external traffic conditions to enhance the identification of potential risks. The success of this research illustrates the potential of combining machine vision with advanced sensor technologies, offering new insights for the development of comprehensive driving assistance systems.

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References

Xu Jinglian,Han Junfeng,Pan Shenghui,et al.Design of car alcohol test system based on multi-sensor data fusion[J].Instrument Technique and Sensor,2010 ( 7) : 105-107.

Yue Rui.Advance in the breath alcohol sensor for policeman [J]Chemical Sensors,2010 ( 7) : 6-10.

Wang Y, Xu J, Liu X, et al. Analysis on risk characteristics of traffic accidents in small-spacing expressway interchange[J]. International journal of environmental research and public health, 2022, 19(16): 9938.

Banerjee, S., & Kapoor, A. (2019). An Introduction to Arduino Uno for Beginners. International Journal of Engineering Science and Computing, 9(8), 19888-19892.

Nasernejad P, Sayed T, Alsaleh R. Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach[J]. Accident Analysis & Prevention, 2021, 161: 106355.

Sahu P, Dixit S, Mishra S, et al. Alcohol detection based engine locking system using MQ-3 sensor[J]. International Research Journal of Engineering and Technology, 2017, 4(4): 979-981.

Chaudhari, N., & Gholap, A. (2018). Alcohol Detection and Engine Locking System using Arduino. International Research Journal of Engineering and Technology, 5(3), 830-833.

Qian K, He Z, Zhang X. 3D point cloud generation with millimeter-wave radar[J]. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2020, 4(4): 1-23.

Horvat M, Gledec G. A comparative study of YOLOv5 models performance for image localization and classification[C]//33rd Central European Conference on Information and Intelligent Systems (CECIIS). 2022: 349.

WEISHAUPT F, APPENRODT N, TILLY J F, et al. PreCFAR gridmaps for automotive radar[C]. The 202118th European Radar Conference (EuRAD), London, United Kingdom, 2022: 161–164. doi: 10.23919/EuRAD 50154.2022.9784455.

WEI Ziping, LI Bin, FENG Tao, et al. Area-based CFAR target detection for automotive millimeter-wave radar[J]. IEEE Transactions on Vehicular Technology, 2023, 72(3): 2891–2906. doi: 10.1109/TVT.2022.3216013.

LAN Lühongkang, HUANG Yan, ZHENG Kaihang,et al. Research on adaptive threshold point cloud imaging method of millimeter-wave radar[J]. Journal of Signal Processing, 2022, 38(10): 2009–2020. doi: 10.16798/j.issn. 1003-0530.2022.10.002.

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Published

27-04-2024

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Section

Articles

How to Cite

Design of a Multidimensional Intelligent Safety Driving Monitoring System Based on Machine Vision. (2024). Academic Journal of Science and Technology, 10(3), 1-4. https://doi.org/10.54097/yc2hj247

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