New Tutorial: Introduction to Infrared Vision: Near vs. Mid-Far Infrared Images

Hi, This week you'll learn about Introduction to Infrared Vision: Near vs. Mid-Far Infrared Images. In today's tutorial, we will learn HOW to SEE what other people CAN'T … by using a special technology … Not interested enough? 😏 Keep reading! In today's tutorial on Introduction to Infrared Vision: Near vs. Mid-Far Infrared Images, we'll start by understanding the basics of INFRARED/NIGHT VISION imaging and its technology, including: What an infrared image is: Near vs. mid-far infrared Types of infrared cameras What they are useful for But before starting the session, please, let us ask you this question: Do you know the difference between the 3 curious pictures (shot during a recent vacation of one PyImageSearch Team member 😉)? Whether you know the answer or not, we think you'll be impressed with how we can apply one of our favorite things in this world, Computer Vision, to these interesting images and the incredible cameras behind them! The big picture: Today, you will learn the basics of INFRARED/NIGHT VISION imaging! How it works: In case you don't know, the infrared camera industry is growing around Computer Vision. You can find this amazing technology in autonomous cars, automatic temperature control, and surveillance security, among other applications. Our thoughts: We are certain you'll find this course exciting, and you'll have new ideas for your Computer Vision projects. Yes, but: You need to control the Infrared Vision basic concepts learned in this class to apply Computer Vision (using Python, OpenCV, and PyTorch) to this special type of image. Stay smart: After this class, you'll be ready to complete the entire Infrared Vision Basics course and develop your own project measuring temperatures, tracking thermal faces, and detecting objects at night. Click here to read the full tutorial Do You Have an OpenCV Project in Mind? You can instantly access all of the code for courses on TensorFlow, PyTorch, Keras, and OpenCV by joining PyImageSearch University.  Guaranteed Results: If you haven't accomplished your Computer Vision/Deep Learning goals, let us know within 30 days of purchase and get a full refund. Discover how to finish your project faster! Your PyImageSearch Team P.S. The recording of our most recent Live Stream on Transformers is now available online! To ensure you keep getting these emails, please add adrian@pyimagesearch.com and success@pyimagesearch.com to your address book or allowlist us. Want out of the loop? Unsubscribe. Our postal address: 317 Commercial St. NE, Ste A, PMB 530, Albuquerque, NM 87102