Fog Detection and Visibility Distance Estimation System

Project will provide software as well as hardware to vehicle manufacturers and individual drivers/owners to detect the fog and assist them during driving in the foggy weather. The proposed fog monitoring system enables drivers to estimate visibility distance in the presence of fog. The designed syst

Project Title

Fog Detection and Visibility Distance Estimation System

Project Area of Specialization

Artificial Intelligence

Project Summary

Project will provide software as well as hardware to vehicle manufacturers and individual drivers/owners to detect the fog and assist them during driving in the foggy weather. The proposed fog monitoring system enables drivers to estimate visibility distance in the presence of fog. The designed system can decrease the accident ratio, mortality and guarantees the passenger life safety including driver. The designed approach can be adopted by different vehicle manufacturers within a country and across the world, to upgrade the vehicles safety and to cope with increasing demands of customers’ life safety. The system can aid intelligence to the vehicles and improves visibility distance perception of the drivers, who often face accidents due to overestimating the visibility distance, by sending them real time notification about obstacles or vehicles going ahead of them. The system is based on proactive approach rather than reactive approach after life losses and vehicle damage, the solution is over all highly admired and accepted in Pakistan vehicle manufacture Industry, for proper commercialized setup this can boost Pakistan’s local & export potential economy, create jobs in vehicle and automobile manufacturing industry.

Our solution will provide following features for vehicle and automobile industry worldwide;

Embedding the Fog Detection and Visibility Distance Estimation System (FDVES) with the Different types of vehicle within/Outside the country.

1. Real- Time alert in case of accident chances during driving

1. Driving Environment– Luminance variation, Distance to Vehicle ahead, Road traffic, percentage of Foggy weather, Vehicle Speed

1. Estimation – Visibility Distance

 Equipment Efficiency % of accuracy in fog detection, visibility distance estimation, Accident avoidance and Low Power Consumption.

Project Objectives

The solution's objectives are as under:

1. Reducing Mortality rate by avoiding vehicle accidents due to low visibility distance and   overestimation of drivers about visibility, which led them over-speed of vehicle.

1. 99% visibility of drivers’ perception about visibility distance in foggy weather across the country or Continents.

1. LCD for displaying the level of fog, estimation of visibility distance and predicting

                the accident chances by Neural Network based on vehicle speed and Visibility

                distance in hazy and snowy environment.

1. Main feature of designed Product to help local vehicle manufacturers to upgrade vehicle for commercialization fulfilling international standards. Local manufacturers will be self-sufficient and can compete with foreign vehicle manufacturers.

1. Monitoring vehicle and drivers’ safety from anytime, anywhere using IoT device.

1. Real-time Notifications to drivers take immediate actions. This feature assist them to regulate the vehicle speed according to environmental conditions.

        

1. Real-time Driving Environment Monitoring like Fog, Vertical luminance variation,

Obstacles, Vehicle speed.

1. Smart Fog detection technique detects fog in environment especially in metropolitan cities, for example, Lahore, where bricks factories releases harmful gases which pollutes and causes fog in environment.  Moreover, coal-based power generation companies and burning of solid waste near to cities contribute significantly in causing the foggy environment.

1. Intelligent data collection and analysis to improve effectiveness.

1. The designed Equipment is low cost and can be effective in improving the vehicle driving features.

1. Low Power consumptions & performance

1. Reporting mechanism to view & compare strategies of proposed technique with previous Fog detection techniques.

1. Smart FDVES provides safety to the vehicles and their drivers through real-time notification about fog levels, Visibility distance, and Vehicle Speed.

Project Implementation Method

The project implementation will be based on following flow:

1. 1. Product development of devices to meet international standards for commercialization.
   2. R&D required for some advanced features like automatic Fog detection, Visibility Distance Estimation, Prior Accident prediction, Driver’s surveillance.
   3. Proper setup for Marketing this solution for national and international Automobile companies.
   4. Global Sales setups to target sales in specific countries with foggy and smoggy environment.
   5. Setup for Vehicle upgradation and its safety.
   6. Cloud and Programming team.
   7. This project will create skilled jobs.

Benefits of the Project

Fog Detection and Visibility Distance Estimation System (FDVES) will provide following benefits:

• To reduce the number of vehicle accidents by using vision sensor and speedometer which are attached to IoT based Fog detection and Visibility Distance Estimation System. The system alerts the drivers to regulate vehicle speed in foggy weather because sometime drivers overestimate the visibility distance in hazy environment and over speed the vehicle.

• To provide proactive approach to drivers for driving in smoggy environment. Fog is an accumulation of water droplets or ice-crystals accompanied by hygroscopic, water-saturated fine particles that reduces visibility. We design a smart fog detection and visibility distance estimation system that uses sophisticated computer vision techniques and Artificial Neural Network to assist drivers to avoid chances of accidents and drive vehicle safely in foggy environment.

• To provide passenger and vehicle safety. Heavy fog is observed in Pakistan especially in Punjab province due to different factors of pollution. The number of traffic accidents has significantly increased due to fog. The accidents not only damage vehicles but also take thousands of precious lives. To solve this problem, we design IoT based system which utilizes modern technologies of computer vision and artificial neural network to guide drivers in foggy environment.

• To decreases mortality rate and additional medical expenses. The designed system decreases number of accidents and improves the drivers’ perception of visibility distance. The decrement in number of accidents decreases mortality rate and avoids vehicle damage. Henceforth, medical expenses due to accidents are reduced.

• We will make our own company with this product. We can also create jobs.

•  We will sale this product to Local vehicle manufacturers of Pakistan and international vehicle manufactures because price of product will be cheap, we can also sale this product to those countries which are under develop.

•  Economy of Pakistan will increase because we export our product to other countries.

•  Local companies of Pakistan will also buy this product for their vehicles.
•  
•  Benefits for Pakistan vehicle companies and local manufacturers.

Technical Details of Final Deliverable

The system employs modern technologies like IoT, Computer Vision and Artificial Intelligence. The technical flow of proposed project will be as under;

• On physical layer speedometer and high definition camera will be used to measure the vehicle speed and to sense the environmental attributes such as vertical luminance and fog.
• Microcontrollers will be used to collect those sensing data from motion and vision sensors; and then transfer the collected data to cloud.
• Secure gateway will be used to establish reliable & authorized connectivity between physical and cloud layer.
• The cloud will be employed to hold the information about foggy environment and vehicle speed, which is transferred by IoT devices such as microcontrollers.
• Sophisticated Computer Vision techniques will be applied on the collected image data to detect fog and estimate the visibility distance following the well-known Law of Koschmieder.
• Efficient algorithm of Artificial Neural Network will be trained on the collected images and vehicle speed in order to predict the chances of accident. The notification is sent to drivers about prediction about chances of accidents, which asset them to regulate their vehicle speed and thus, they avoid vehicle accident.  
• The prediction about chances of accidents will help drivers to manipulate the speed of vehicle accordingly and avoid the excessive over speed due to overestimation of visibility distance in smoggy environment.
• Real-time alert will be sent to drivers pertaining to driving environmental information.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Transportation

Other Industries

Manufacturing

Core Technology

Artificial Intelligence(AI)

Other Technologies

Internet of Things (IoT), Cloud Infrastructure

Sustainable Development Goals

Industry, Innovation and Infrastructure, Climate Action, Life on Land

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com