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@article{194333,
        author = {Mayureshwar Shendre and Dr. Shirish Pattalwar and Neha Wadi and Shreya Adsod and Kartik Rathod},
        title = {A Literature Review of TSR System with A Visual Display & Audio (Speech) Alerts},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {3622-3628},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194333},
        abstract = {The Traffic Signs Recognition System with Visual Display and Audio Alerts is an intelligent system designed to enhance road safety by detecting and recognizing traffic signs in real-time. The system employs advanced machine learning techniques, such as the YOLO (You Only Look Once) algorithm, to accurately identify various traffic signs captured through an ESP32 camera. Once a traffic sign is detected, the system provides immediate feedback to the driver through visual displays and audio alerts using text-to-speech technology, ensuring timely awareness and response. The back-end processing is handled on a laptop system, enabling efficient computation and real-time performance. This system aims to reduce traffic violations, enhance driver assistance, and contribute to safer road environments by integrating machine learning, IoT, and speech-based alert mechanisms.},
        keywords = {CNN, ESP32 Camera, IoT, Machine Learning (ML), Text-to-Speech Technology, TSR System, YOLO},
        month = {March},
        }