Iot Based Vehicle Over Weight Safety System

• Author(s):

  M.Gautham | S.Premkumar | T.Sasikumar | M.Tamil Selvan | S.Vasantha Kumar

• Keywords:

  IoT, Vehicle Overload Detection, Load Cell, HX711, Arduino Uno, Servo Motor, Smart Transport, Fleet Safety, Real- Time Monitoring, Road Safety Automation

• Abstract:

  The Vehicle's Additional Fee Is An Important Issue That Damages Traffic Safety, Infrastructure And Increases The Risk Of Accidents. This Article Offers An IoT-based Vehicle Overweight Safety System That Automatically Provides A Distance Warning To The Process Of Load Monitoring And Implementing Safety Activities To Prevent Overloaded Vehicle Movement. The System Integrates A Load Cell Module To Create A Smart And Reliable Safety Mechanism With The HX711 Amplifier, An Arduino Uno Microcontroller, An Sarvo Engine, An LCD Screen And An IoT Module (eg ESP8266). During The Load Process, The System Measures The Load On The Vehicle In Real Time Using A Continuous Load Cell. If The Load Is Greater Than The Predetermined Safety Limit, The System Automatically Triggers A Servo Motor To Close The Vehicle's Loading Door, Effectively Stops Further Load. In Addition, The Current Weight And Overload Ratio Is Displayed On An LCD And Transferred To The Owner Or Fleet Manager To The Vehicle Via The IoT Module. This Ensures That Stakeholders Are Immediately Informed Of The Events With Overload. In Addition, If An Overloaded Vehicle Begins To Drive, The System Activates The Indicator Lights Around The Vehicle Because There Is A Visual Warning For Nearby Traffic And Officials. For Continuous Monitoring And Response, The Status Of Movement And Weight Data Is Also Updated Through The IoT Platform. This Intelligent Safety System Not Only Improves Traffic Safety, But Also Promotes Compliance With Transport Rules. It Is Especially Useful For Logistics, Construction And Goods Transport Industries Where Load Management Is Important. Implementation Cost Efficient, Scalable And Contributes To The Development Of Intelligent, Safe Transport Systems.

---

Other Details

• Paper id:

  IJSARTV11I5103568

• Published in:

  Volume: 11 Issue: 5 May 2025

• Publication Date:

  2025-05-15

Download Article