IoT Based Automatic Vehicle Accident Detection And Rescue System

An IoT based automatic vehicle accident detection system helps to reduce the loss of life due to accidents. Also, it reduces the time taken by the rescue team/ambulance to reach the hospital.
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Road accidents always unfold in seconds. Moreover, the time at which the rescue system arrives directly impacts the recovery of the accident victims.

Imagine how great it would be if your vehicle speed and temperature reached a threshold level and a message was sent directly to the rescue team so that instant action could be taken.

Vehicle accidents and traffic hazards are on the rise due to the increasing demand for automobiles. On roads, people’s lives are always at risk. In addition, delays in locating accidents, traffic congestion, and ambulance delays increase the risk of death.

If we have to state the problem in the traditional rescue system, it will be that “time is of the essence.”

The traditional method involves dependency on humans and human intervention to report accidents on time. In remote areas, if an accident happens, the delay can be even more prominent.

To overcome this issue and all the related others, enter the IoT—to sense danger and trigger a response.

We will discuss an IoT solution that can reform the way we traditionally deal with vehicle accidents.

The solution here is an IoT based automatic vehicle accident detection and rescue system.

Let’s go ahead and discuss the automatic vehicle accident detection system and how it works.

WHAT IS AN IOT BASED VEHICLE ACCIDENT DETECTION SYSTEM?

vehicle accident detection system

An IoT based automatic vehicle accident detection system helps to reduce the loss of life due to accidents. Also, it reduces the time taken by the rescue team/ambulance to reach the hospital.

This aforementioned accident detection and alert system leverages a network of sensors installed within vehicles and roadways to form a predictive safety net.

The road accident prevention system continuously monitors several parameters on the road, like:

  • Vehicle Movement 

Any unexpected change in speed, direction, or G-force is suggestive of a collision or accident.

  • Geographical Factor

Environmental aspects like fog, slippery roads, or risky weather conditions will increase accident chances.

  • Vehicle Health

Faulty airbags, out-of-order brakes, or steering systems can lead to severe accidents.

HOW DO IOT-BASED AUTOMATIC VEHICLE ACCIDENT DETECTION AND RESCUE SYSTEMS WORK?

The integration of Internet of Things (IoT) technology has revolutionized and is still revolutionizing various aspects of our lives. One of the compelling applications that is still very much untouched by the world is an automatic vehicle accident detection and rescue system.

Let’s understand the workings of the vehicle accident detection system and why it’s a boon to society.

1. DATA ACQUISITION

The term data acquisition means collecting real-world signals and converting them into a digital domain for display, storage, and analysis. In this context, the sensors collect real-time data (signals) on the above-mentioned parameters, like vehicle health, vehicle movement, and environmental factors.

2. EDGE COMPUTING 

Integrated microcontrollers or edge computing devices will analyze the data gathered by sensors to identify and locate potential accident scenarios.

3. DECISION MAKING

Once the information is received, the advanced algorithms analyze the data based on historical data and accident patterns to forecast the severity and strong possibility of an accident.

4. INITIATING THE RESPONSE 

In the case of a confirmed accident, the system

  • Sends an Alert:
    Rescue/emergency services are immediately notified with accurate location data using GPS and predicted severity.

  • Activates Safety Features:
    The system activates in-built safety features like airbag deployment, unlocking doors, and automatic emergency calls.

  • Alert Nearby Vehicles:
    The cars in the vicinity of the accident site receive a warning to avoid the accident zone. This is done to prevent traffic congestion.

  • Guides Rescue Team:
    Real-time traffic updates and alternate routes are shared with ambulance and rescue teams.

BEYOND ACCIDENT DETECTION: THE TIMELY RESCUE

The accident detection and alert system using IoT does much more than accident detection. It’s also a rescue system and facilitates faster and more efficient emergency rescue efforts, such as:

  • Medical Support:
    Ambulances and medical drones (the most popular things at present) equipped with first-aid supplies can be dispatched to the accident site.
  • Traffic Management
    Vehicle accident often leads to traffic congestion. So, if an accident takes place, traffic rerouting can be planned to clear the path for emergency vehicles and ambulances.
  • Emergency Preparedness
    In the event of a natural disaster or large accident, the IoT system can properly coordinate rescue efforts by allocating resources effectively.

BENEFITS OF A VEHICLE ACCIDENT DETECTION SYSTEM

vehicle accident detection system

The significance of an IoT based automatic vehicle accident detection and rescue system holds several benefits other than saving lives. Some other benefits of a vehicle accident detection system are:

  • Lower Accident Rates
    It is possible to prevent many accidents from occurring by detecting them and warning them in time.
  • Reduced Insurance Cost
    The severity of accidents can be reduced through faster accident response and rescue management, resulting in lower insurance premiums.
  • Improved Traffic Flow
    Traffic congestion can be reduced, and overall travel times can be reduced, with efficient traffic management.

  • Efficient Emergency Services
    Emergency services can be made more effective with the help of real-time data and coordinated responses.

TO SUM UP,

Integrating IoT into vehicle accident detection and rescue systems guarantees a future where every vehicle on the road and every trip is safer.

By leveraging sensors, IoT devices, and IoT technology, we can also minimize the cost and damage caused by road accidents and build a more sturdy and responsive transportation ecosystem.

The path towards a safer world starts with an understanding of the power of IoT and its potential to transform the way we respond to and prevent road accidents.

This blog post is written to highlight the capabilities of an IoT based accident detection and rescue system.

PsiBorg is an IoT-service-providing company that develops innovative and need-of-hours IoT solutions for enterprises.

If you have any requirements regarding the accident detection and rescue system, reach out to us. We will be happy to serve you.

Meanwhile, read our blog to learn more about the applications of IoT technology.

FAQ

The vehicle accident detection and alert system leverages a network of sensors installed within vehicles and roadways to form a predictive safety net. An IoT based automatic vehicle accident detection system helps to reduce the loss of life due to accidents. Also, it reduces the time taken by the rescue team/ambulance to reach the hospital.

An IoT based automatic road accident detection system uses accelerometer sensors, GSM, GPS technologies, vehicular ad-hoc networks, and mobile applications. The aforementioned system detects the accident through the sensors present in the system, and the GSM module sends a message about the location to the mentioned guardian and rescue team. The rescue team immediately traced the site’s location through GPS, to take timely action.

The system for detecting and reporting vehicle accidents and alert system offers several advantages such as timely rescue, improved traffic flow, lower accident rates, and much more.

Vidushi

Vidushi Gupta (CEO)

After a successful stint in a power electronics company, Vidushi is back to what she enjoys the most- conceptualizing new IoT solutions to solve business problems. As the CEO of PsiBorg, she successfully manages to apply her technical and management skills, along with her passion for building new IoT solutions for businesses in all domains.

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