A Comprehensive Analysis of Real-Time Car Safety Belt Detection Using the YOLOv7 Algorithm

نویسندگان

چکیده

Using a safety belt is crucial for preventing severe injuries and fatalities during vehicle accidents. In this paper, we propose real-time occupant detection system based on the YOLOv7 (You Only Look Once version seven) object algorithm. The proposed approach aims to automatically detect whether occupants of have buckled their belts or not as soon they are detected within vehicle. A dataset purpose was collected annotated validation testing. By leveraging efficiency accuracy YOLOv7, achieve near-instantaneous analysis video streams, making our suitable deployment in various surveillance automotive applications. This paper outlines comprehensive methodology training model using labelImg tool annotate with images showing occupants. It also discusses challenges detecting seat evaluates system’s performance real-world dataset. evaluation focuses distinguishing status between two classes: “buckled” “unbuckled”. results demonstrate high level accuracy, mean average precision (mAP) 99.6% an F1 score 98%, indicating effectiveness identifying status.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Real-time damage detection of bridges using adaptive time-frequency analysis and ANN

Although traditional signal-based structural health monitoring algorithms have been successfully employed for small structures, their application for large and complex bridges has been challenging due to non-stationary signal characteristics with a high level of noise. In this paper, a promising damage detection algorithm is proposed by incorporation of adaptive signal processing and Artificial...

متن کامل

a time-series analysis of the demand for life insurance in iran

با توجه به تجزیه و تحلیل داده ها ما دریافتیم که سطح درامد و تعداد نمایندگیها باتقاضای بیمه عمر رابطه مستقیم دارند و نرخ بهره و بار تکفل با تقاضای بیمه عمر رابطه عکس دارند

MULTI-OBJECTIVE OPTIMIZATION OF TIME-COST-SAFETY USING GENETIC ALGORITHM

Safety risk management has a considerable effect on disproportionate injury rate of construction industry, project cost and both labor and public morale. On the other hand time-cost optimization (TCO) may earn a big profit for project stakeholders. This paper has addressed these issues to present a multi-objective optimization model to simultaneously optimize total time, total cost and overall ...

متن کامل

Real-time Scheduling of a Flexible Manufacturing System using a Two-phase Machine Learning Algorithm

The static and analytic scheduling approach is very difficult to follow and is not always applicable in real-time. Most of the scheduling algorithms are designed to be established in offline environment. However, we are challenged with three characteristics in real cases: First, problem data of jobs are not known in advance. Second, most of the shop’s parameters tend to be stochastic. Third, th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Algorithms

سال: 2023

ISSN: ['1999-4893']

DOI: https://doi.org/10.3390/a16090400