Digital Traffic Warden

The big challenge for the regulators is to put in place an effective system to en-force citizens to follow traffic rules. If we talk about only one major city of our country like Lahore. According to the collected data from the city traffic police, there are a total of about 6.2 million vehicles and

Project Title

Digital Traffic Warden

Project Area of Specialization

Computer Science

Project Summary

The big challenge for the regulators is to put in place an effective system to en-force citizens to follow traffic rules. If we talk about only one major city of our country like Lahore. According to the collected data from the city traffic police, there are a total of about 6.2 million vehicles and 4.2 million motorcycles are present only in Lahore. You can gauge the sheer number of vehicles in Lahore by comparing the number of vehicles in Lahore with the 19.6 million vehicles in the entire province of Punjab. This shows that Lahore has around 32% of vehicles in Punjab. But City Traffic Police Lahore with its 3000 traffic wardens and 215 Senior Traffic Wardens are covering the entire city. It is very difficult to increase the traffic personnel as it will increase the cost to the government.

Traffic violations also cause traffic jams and cause of heavy traffic on road. Those people who obey traffic laws frustrate form these events. So, there should be a platform where people can do some things to those offenders.

Installing cameras on all roads will cost a lot. If it is only a city in the county, then it can be done but to cover the whole country it's impossible, and if it is then too costly. Surveillance cameras also have maintenance costs and maintenance issues.

We need the help of AI to resolve the challenge in all the Dimensions (human interference, cost, accuracy, data retrieval & punish the violators). This solution will bring a lot of discipline among drivers to follow the traffic rules and obey them.

Project Objectives

Our Objective, it will reduce the man's effort to monitor the traffic violations constantly. Most of the traffic is happening in streets due to the wrong side driving or driving in No entry. Our solution can be enhanced to monitor such violations also which will reduce unnecessary traffic. In this project, we are expected to finish at least three traffic law violations. The first one is a signal violation, the second is a Lower-Take violation and the third is a Wrong Way violation. And deal with maximum test cases. This app will be able to minimize workload from the government and decrease traffic violations in our country and this will help to establish road sense in our people and ensure the safety of citizens. As of now, there are no limitations, the model can predict the violations with 70% to 80% accuracy.

Project Implementation Method

To address this challenge, we will make a well-designed app through which users will capture video and upload. After successfully uploading a video, our server will check its validation. If the given information is correct then that person will get rewarded for that. we have taken the help of people nearby roads to enforce the road safety to save innocent human lives from offensive drivers, where by implementing an automated app to identify violators by the help of video evidence provided by user. Let look into the details about the implementation. First thing first when we talk about AI and Machine learning we need to feed data to train machine. As data is not available readily for us, and if it so it fails in Pakistan. So, we first need to collect a lot of data to feed our machine. We need to collect all the data set by ourselves and work on that data set. Using Yolo, we are classifying the images to detect the violations. To extract the vehicle number, we are using ORC to recognize & extract the required details. To build our app we will use React Native as it is cross platform work for all devices (IOS & Android). All videos are stored on a database and will be processed by our server. Of course, this app will integrate with the exercise database. But for this project we make it simple because of many issues we will use a dummy database for that. As we don’t have any control on government data, we will try hard to propose our idea to traffic police and exercise.

Benefits of the Project

Our solution can be enhanced to monitor such violations also which will reduce unnecessary traffic. We are expected to finish at least three traffic law violations. The first one is a signal violation, the second is a Lower-Take violation and the third is a Wrong Way violation. And deal with maximum test cases. This app will be able to minimize workload from the government and decrease traffic violations in our country and this will help to establish road sense in our people and ensure the safety of citizens. As of now, there are no limitations, the model can predict the violations with 70% to 80% accuracy. We need to refine the whole project to reduce the manual intervention. We want to implement it in the live video feed, which will be good value addition.

At the end of this project we will get familiar with Artificial Intelligence (Machine Learning, Computer Vision algorithm’s). We will interact with cross platform React Native for Development. We will also familiar with Database (local Server) and we will collect and create dataset to train our server.

Technical Details of Final Deliverable

Definitely this solution will bring a lot of discipline among drivers to follow the traffic rules and obey to it. For the government it will reduce the man's effort to monitor the traffic violations constantly. Most of the traffic is happening in streets due to the wrong side driving or driving in No entry. Our solution can be enhanced to monitor such violations also which will definitely reduce the unnecessary traffic. In this project we are expected to finish at least three traffic law violations. First one is signal violation, second is Lower-Take violation and Third is Wrong Way violation. And deal with maximum test cases. After completing this project, we will be able to detect some of the basic traffic rule violations. This app will be able to minimize workload from the government and decrease traffic violations in our country and this will help to establish road sense in our people and ensure safety of citizens. As of now there are no limitations, the model is able to predict the violations with 70% to 80% accuracy.

Final Deliverable of the Project

Software System

Core Industry

Transportation

Other Industries

IT

Core Technology

Artificial Intelligence(AI)

Other Technologies

Big Data

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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