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All Journal International Journal of Applied Mathematics, Sciences, and Technology for National Defense
K, Muthumanickam
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics

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Enhancing digital resilience through GEN-AI driven video content moderation and copyright protection K, Muthumanickam; T, Kathirvel; K, Harish Vishnu; N, Mukesh Rajan
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 3, No 1 (2025): International Journal of Applied Mathematics, Sciences, and Technology for Natio
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def.v3i1.640

Abstract

In the digital era, ensuring digital resilience in video content moderation and copyright enforcement is crucial due to the vast volume of uploads. Traditional manual review methods are inefficient, necessitating AI-driven automation. This paper presents an AI-powered system integrating computer vision, deep learning, and NLP for real-time video analysis. The system detects inappropriate content using CLIP for visual moderation and Whisper for speech analysis, ensuring high-precision filtering with human oversight. A copyright protection mechanism employs watermarking and fingerprinting to generate unique digital signatures, preventing unauthorized content usage. A React-based UI with Vite framework provides an interactive reviewer experience. By combining automation with human intervention, this approach enhances moderation accuracy, copyright enforcement, and compliance with global content standards, fostering a more secure and resilient digital ecosystem. This system enhances digital resilience and security, making it applicable for defense and national security in protecting sensitive content.
Vision stick: An intelligent assistive device to support soldier mobility in visually impaired conditions K, Muthumanickam; V, Logeshwaran; B, Sanjay; I, Simon Marshal
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 3, No 2 (2025): International Journal of Applied Mathematics, Sciences, and Technology for Natio
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def.v3i2.662

Abstract

The Vision Stick is an innovative assistive device designed to enhance the mobility and independence of visually impaired individuals by integrating AI-powered vision models and ultrasonic sensors into a traditional white cane. Visually impaired individuals face significant challenges in navigating their surroundings, often relying on conventional mobility aids that lack advanced environmental awareness. To address this, the Vision Stick operates in two modes: an online AI vision mode and an offline ultrasonic mode. In online mode, a camera and AI algorithms analyze the surroundings, providing real-time voice descriptions of obstacles, landmarks, and hazards, improving navigation and safety. In offline mode, an ultrasonic sensor detects nearby objects and provides audio feedback, ensuring uninterrupted guidance without internet access. The device retains the familiar structure of a white cane while incorporating lightweight embedded components for ease of use. By combining AI-driven environmental awareness with ultrasonic obstacle detection, the Vision Stick enhances safety, confidence, and autonomy for visually impaired individuals in diverse environments.
Co-Authors B, Sanjay I, Simon Marshal K, Harish Vishnu N, Mukesh Rajan T, Kathirvel V, Logeshwaran