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@article{200711,
        author = {Md Noor Alam},
        title = {Real-Time Gender Detection using Webcam based on Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {1455-1462},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200711},
        abstract = {Real-time gender detection is a significant application of computer vision and artificial intelligence, widely used in surveillance systems, human-computer interaction, and targeted marketing. This paper presents a real-time gender detection system using deep learning techniques. The system utilizes OpenCV for face detection and a Convolutional Neural Network (CNN) for classification. It processes live webcam input and predicts gender efficiently with low latency. The proposed model achieves approximately 92% accuracy while maintaining real-time performance. This system can be applied in surveillance, human-computer interaction, and smart analytics.},
        keywords = {Gender Detection, Deep Learning, CNN, OpenCV, Computer Vision, Real-Time System},
        month = {May},
        }