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neutral-network

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🚀 This article explores the architecture and working mechanism of Vision-Language Models (VLMs) such as GPT-4V. It explains how these models process and fuse visual and textual inputs using encoders, embeddings, and attention mechanisms.

  • Updated May 9, 2025

This project leverages machine learning, computer vision, and embedded systems to improve child safety in urban environments. Using Python, OpenCV, and CNNs, the system integrates real-time video analysis for child detection via CCTV, alerts using Arduino, and data processing on a laptop. The project aims to provide a comprehensive safety solution

  • Updated Oct 29, 2024
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