Technology Overview
Vision AI is built on cutting-edge deep learning models and utilizes computer vision techniques to analyze images and videos efficiently. The core components of Vision AI include:
Neural Networks: Employing advanced architectures like CNNs (Convolutional Neural Networks) and Transformers for image and video processing.
Real-Time Object Detection: Utilizing optimized models (e.g., YOLO, Faster R-CNN) for real-time object recognition.
DePIN Integration: Enhancing computational efficiency and decentralization, ensuring privacy and security.
Blockchain Deployment: Utilizing Solana for decentralized operations, enabling secure and transparent transactions.
Last updated
