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@article{166131,
        author = {Mohammed Ajam and Abhishek Chandra Thakur and Kashis Singh and Badal and Priyatosh Jana  and Sabyasachi Samanta},
        title = {Visual Key logging: A Novel Approach with Depth Estimation and Triangulation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {2},
        pages = {482-491},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166131},
        abstract = {Visual keylogging is a type of security threat where an attacker captures keystrokes by visually observing the victim’s keyboard. A novel approach incorporating depth estimation and triangulation can enhance the accuracy and feasibility of such attacks. Incorporating depth estimation and triangulation in visual keylogging represents a sophisticated approach that significantly enhances the accuracy of capturing keystrokes. Understanding this method can help in developing effective countermeasures to protect against such security threats. This paper presents a comprehensive overview of the "Visual Keylogger" project, which aims to develop a novel approach to keystroke recognition and tracking using OpenCV. Leveraging advanced computer vision techniques, the Visual Keylogger offers a non-invasive, ethical surveillance solution to enhance security measures. The project explores various components, including real-time keystroke recognition, adaptive learning, and customizable alert systems, while maintaining a commitment to ethical standards.},
        keywords = {Keylogger, OpenCV, Computer Vision, Security, Surveillance, Keystroke Recognition, Ethical Framework.},
        month = {July},
        }