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Visual Key logging: A Novel Approach with Depth Estimation and Triangulation

  • Unique Paper ID: 166131
  • Volume: 11
  • Issue: 2
  • PageNo: 482-491
  • 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.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 2
  • PageNo: 482-491

Visual Key logging: A Novel Approach with Depth Estimation and Triangulation

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Journal no 47859

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