Project Detail

Tica
2025
Desktop (MacOS)
Technology :
SwiftUI, CoreML, Vision, Yolo, AVFoundation, Ultralytics, Roboflow
Core Features :
๐ Dashboard / Analytics App: Monitor system performance and insights through a dedicated analytics interface.
๐น Real-Time CCTV View: Access live video feed to observe vehicle activity at hybrid toll gates.
๐ Main View Pop-Up: Instantly display vehicle class, toll fare, transaction time, and payment method after a successful transaction.
๐ Confidence-Based Highlighting: Adaptive vehicle classification view that visually emphasizes classifications with higher confidence levels.
Outline
Have you ever driven through a toll gate, only to be misclassified, overcharged, or delayed due to unclear vehicle category validation? You're not alone. Many drivers and toll operators face inefficiencies caused by manual classification, inconsistent lighting, and human error. These issues not only cause user frustration but also operational delays, revenue leakage, and audit complexity for toll authorities.
Our AI-powered system offers a smart and scalable solution. By utilizing Computer Vision and Machine Learning, our system detects, validates, and categorizes vehicles in real-time through CCTV footage at hybrid toll gates. This ensures accurate classification, eliminates human bias, and streamlines toll processing โ all without interrupting the driving experience.
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