ashwin2125 / opnsrc-machinelearning-itms-ug-graduation-project

We develop a machine learning model called– YOLO(YouOnlyLookOnce), that can analyze the traffic scenario and perform signal switching as per the conditions.

FINAL YEAR PROJECT :

Intelligent Traffic Management System using Machine Learning Model

Team Members : Ashwin.G, Anandhakumar.P, Avinash.V, Dinakaran.K.P

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Main Modules :

1. Machine Learning Model Development ✅

1. Installing underlying Framework
2. Defining the Dataset
3. Configuring the Dataset according to YOLO model
4. Converting the chosen dataset to YOLO Format

2. Training - YOLO Machine Learning Model with IDD Dataset ✅

1. Write custom training config
2. Start training the model after defining the class files
3. Calculating mAP for our model with IDD Dataset
4. Creating weights for our model

3. YOLO Machine Learning Model - Deployment ⏳

1. Non-Max Suppression
2. Vehicle Detection
3. Counting number of vehicles present.

4. Dynamic Signal Switching 🚦

1. Average Signal Open/Close Time
2. Lane Open/Close Function
3. Dynamic to Static at abnormal conditions.

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