Case Study

Highway Vehicle Detection

About

The AI-Powered Vehicle Detection and Counting System by Ideafloats Technologies is a state-of-the-art solution designed to tackle the challenges of real-time traffic monitoring on highways. By combining cutting-edge artificial intelligence with computer vision technologies, the system ensures accurate detection, classification, and counting of various vehicle types. This project showcases our expertise in AI integration and real-time data processing, with the goal of transforming how traffic is monitored, managed, and analysed.

Industry

Smart Transportation

Services

AI & Machine Learning Development

Business type

Enterprise | B2G (Business to Government)

Objective

To build a reliable, automated vehicle counting and classification system that operates in real-time, enhances the accuracy of traffic data collection, and eliminates the inefficiencies of manual counting methods.

Background of the project

Traditional methods for vehicle counting on highways involved manual observation and rudimentary sensors, which often led to errors, inconsistencies, and high operational costs. With the rise in vehicle volume and the need for better urban mobility planning, there was a clear demand for a smarter and more scalable traffic monitoring system. Ideafloats Technologies stepped in to deliver an AI-powered solution capable of meeting these modern-day requirements.

Our Project Challenges

Integration of AI Functionalities

Problem: Integrating object detection and classification models like YOLOv3 into a real-time video processing pipeline without compromising performance.
Solution: Built an optimized AI model pipeline using YOLOv3, Python, and OpenCV for real-time detection, classification, and counting of vehicles with high accuracy and speed.

Inconsistent User Experience

Problem: Ensuring seamless visualization and interaction across various platforms for traffic monitoring personnel.
Solution: Developed a clean and intuitive dashboard that displays real-time traffic statistics and video feeds with classification insights, using responsive design principles.

Data Security Compliance

Problem: Collecting and storing video and traffic data while ensuring privacy and adherence to data protection regulations.
Solution: Deployed data encryption standards and secured communication channels to protect data integrity and privacy across all endpoints.

Impact

This innovative solution significantly improved the accuracy of vehicle monitoring and counting on highways, allowing for better traffic flow management and contributing to the development of smarter, AI-driven urban infrastructure.

75%

Less Manual Work

78%

More Accurate Data

85%

Operational Efficiency