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@article{165580,
        author = {Tanmay Srivastava and Tanishkka Jadhav and Rahul Pandita and Tanmay Singh and Sujal tawale and Tanmay Bajad and Rahul Waikar},
        title = {ARDUINO AND PYTHON FACE RECOGNITION BASED ACCIDENT PREVENTION SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {11},
        number = {1},
        pages = {1286-1289},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165580},
        abstract = {The Arduino and Python Face Recognition Based Accident Prevention System integrates Arduino microcontroller technology with Python programming for advanced safety applications. This system employs facial recognition algorithms to detect and identify individuals, enhancing traditional accident prevention measures. Utilizing a camera interfaced with Arduino, the system captures and processes real-time facial data. Python scripts analyze the facial features, identifying potential risks or distracted behavior in drivers. In the event of a detected threat, the system triggers preventive actions, such as warnings or emergency braking signals. This innovative approach aims to reduce accidents by addressing human related factors, promoting a safer environment on the roads through the synergy of Arduino hardware and Python's facial recognition capabilities.},
        keywords = {Facial Recognition, Arduino, Python, Image Processing, Computer Vision},
        month = {},
        }