Artificial Intelligence (AI) for vision systems, also known as Computer Vision, is a field of computer science that trains computers to replicate the human vision system. Through AI, digital devices such as face detectors and QR code scanners can identify and process objects in images and videos, akin to human perception. Rather than merely representing visual scenes naturally, a Smart Bionic Eye leverages AI-based scene understanding. It tailors visual augmentations to specific real-world tasks affecting the quality of life for people with blindness. These tasks include face recognition, outdoor navigation, and self-care. By incorporating deep learning-based enhancements, next-generation neuroprosthetic devices may significantly improve everyday functionality for those with visual impairments.

  • What is Video Analytics? It involves tasks like counting people, identifying objects, or tracking specific individuals in videos. By automating these tasks, it enhances efficiency and accuracy

  • Deep Learning for Video Analysis: Deep learning, a subset of machine learning, plays a crucial role. Neural networks learn patterns in data, enabling object detection, tracking, and action recognition.
  • Object Detection: Algorithms like Mask R-CNN, YOLOv3, and YOLOv7 detect and track objects in real-time video streams. They’re used for tasks like identifying vehicles,
    people, and traffic lights.