Improving Road Safety Around Schools in Africa Using Computer Vision & Drone Images

Background

Ensuring the safety of children and pedestrians in school zones is a growing challenge in urban environments, particularly in Africa. Daily commutes to and from schools often involve navigating busy roads and pedestrian crossings, leading to accidents and safety risks. This project aims to address these concerns by utilizing technology to improve road safety around schools.

Objective

The goal of the project is to enhance road safety around schools in Africa, with a focus on pedestrian safety and traffic management. Using computer vision models and drone technology, the project seeks to improve safety measures, manage traffic flow efficiently, and provide data-driven insights for better decision-making and infrastructure planning.

Approach

The project leverages advanced technology, including computer vision and drones, to tackle key issues in school zone safety:

1. Data Sources: Drones equipped with cameras were used to capture aerial imagery of school zones.
2. Methods: Computer vision models were developed to identify pedestrian crossings, count pedestrians, monitor vehicle traffic, and estimate vehicle speeds.
3. Analysis Techniques: Data from drone imagery was processed using deep learning algorithms to track and analyze pedestrian and vehicle movement.
4. Tools Used: Drone imagery, computer vision software, and a user-friendly dashboard for visual data representation.

Results and Impact

The project’s impact is substantial, offering several measurable benefits:

• Enhanced Safety: Computer vision models identify pedestrian crossings and count pedestrians, reducing accident risks in school zones.
• Efficient Traffic Management: Vehicle counting and speed estimation help reduce congestion and improve traffic flow during peak school hours.
• Data-Driven Insights: A visual dashboard offers actionable data for local authorities to optimize infrastructure and traffic management strategies.
• Resource Optimization: Local authorities can use the insights to allocate resources effectively, reducing costs and improving road safety.
• Community Confidence: The proactive approach enhances public trust in local governments’ commitment to student and pedestrian safety.

Future Implications

This project could influence future policies and strategies for road safety around schools in Africa. By demonstrating the effectiveness of computer vision and drones in enhancing safety and traffic management, it could inspire further research and the adoption of similar technology for road safety initiatives across the continent. The findings also have the potential to guide infrastructure improvements and shape future policies for urban planning and school zone safety.