Local Chapter Jakarta, Indonesia Local Chapter
Coordinated by Indonesia ,
Status: Completed
Project Duration: 01 Aug 2023 - 17 Sep 2023
Open Source resources available from this project
Project background.
Traffic management is crucial for preserving road capacity, enhancing safety, and reducing congestion in urban areas like Jakarta, Indonesia. This project aims to leverage advanced technologies and data-driven solutions to address the challenges associated with traffic management in the city.
The problem.
Jakarta faces several traffic-related issues, including congestion, accidents, and road defects. These problems lead to inefficiencies, safety hazards, and increased travel times for residents. The primary problems to tackle are:
1. Vehicle speed and category classification to enforce speed limits.
2. Traffic density classification for efficient traffic redirection.
3. Pothole detection for road maintenance and safety.
Project goals.
Project plan.
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Week 1
Project Setup and Data Collection:
Set up the project repository and gather relevant datasets. -
Week 2
Data Preprocessing and Model Planning:
Preprocess the data and plan the machine learning models. -
Week 3
Vehicle Category Classification Model:
Develop and train the vehicle category classification model. -
Week 4
Traffic Density Classification Model:
Create the traffic density classification model. -
Week 5
Pothole Detection Model:
Implement the pothole object detection model. -
Week 6
Web Application Development:
Design and develop a user-friendly web application. -
Week 7
Testing, Documentation, and Future Planning:
Conduct testing, document the project, and plan future developments.
Learning outcomes.
– Improved understanding of deep learning model development and evaluation.
– Proficiency in using PyTorch, OpenCV, and other relevant libraries.
– Experience in creating user-friendly web applications.
– Knowledge of traffic management challenges and solutions.
– Collaboration and project management skills through teamwork on a complex project.
