SIC-Day3 (20.7.2024).pptx

AI Hackathon Training (Day-3) Computer Vision Introduction  Computer Vision A subset of computer-based intelligence or Artificial Intelligence. the extraction of information from images, text, videos, in a manner similar to human vision. It involves developing a...

AI Hackathon Training (Day-3) Computer Vision Introduction  Computer Vision A subset of computer-based intelligence or Artificial Intelligence. the extraction of information from images, text, videos, in a manner similar to human vision. It involves developing algorithms and techniques to extract meaningful information from visual inputs and make sense of the visual world. Value of Computer Vision Computer vision systems excel in tasks like product inspection and infrastructure monitoring, detecting defects in real-time. Their speed, objectivity, and accuracy often exceed human abilities. Deep learning models surpass human- level performance in image recognition tasks such as facial recognition and object detection.  How Computer Vision Works Computer Vision primarily relies on pattern recognition techniques to self-train and understand visual data. CV works in three basic steps: ○ Acquiring the image: Images can be acquired in real-time through video, photos, or 3D technology for analysis. ○ Processing and annotating the image: The models are trained by first being fed thousands of labeled or pre-identified images. The collected data is cleaned according to the use case and the labeling is performed. ○ Understanding the image: The final step is the interpretative step, where an object is identified or classified.  How Computer Vision Technology Works To train an algorithm for CV, deep learning, a subset of machine learning. Many high-performing methods in modern CV software are based on a convolutional neural network (CNN). The CNN helps a machine learning/deep learning model to understand images by breaking them down into pixels that were given labels to train specific features, called image annotation.  Types of Image Annotation 2D Bounding Boxes 3D Bounding Boxes Polygons Landmarking Lines and Splines (Polyline) Semantic Segmentation Computer Vision AI Applications and Use Cases Manufacturing Healthcare  Security Theft Detection and Parcel Intrusion Detection Face Detection Security Agriculture Smart Cities Weapon Detection Vehicle Counting  Retail Inventory Detection and Management with CV  Insurance Safety and Compliance Inspection Cargo logistics system with CV Logistics Cargo Logistics System with CV  Pharmaceutical Pharmaceutical CV application to Detect Typical Capsule Defects  Thank You Any Question?