Computer Vision

Learning Resource Type

Classroom Resource

Subject Area

Digital Literacy and Computer Science

Grade(s)

9, 10, 11, 12

Overview

When computers were first developed, the only way they could interact with the outside world was through the input that people wired or typed into them. Digital devices today often have cameras, microphones, and other sensors through which programs can perceive the world we live in automatically. Processing images from a camera, and looking for interesting information in them, is what we call computer vision.

With increases in computer power, the decrease in the size of computers and progressively more advanced algorithms, computer vision has a growing range of applications. While it is commonly used in fields like healthcare, security, and manufacturing, we are finding more and more uses for them in our everyday life, too.

Digital Literacy and Computer Science (2018) Grade(s): 09-12

DLCS18.HS.28

Develop a model that reflects the methods, procedures and concepts used by computing devices in translating digital bits as real-world phenomena, such as print characters, sound, images, and video.

UP:DLCS18.HS.28

Knowledge

Students know:
  • computing devices use methods, procedures, and concepts to translate digital bits from an abstract form into real-world phenomena such as sound, images, etc.
  • each device has a process for translating from computational information to real-world phenomena.

Skills

Students are able to:
  • model the translation of digital information to real-world phenomena.
  • understand that this process is that way in which computing devices and humans interact.

Understanding

Students understand that:
  • for computing devices to communicate in a way in which humans understand, there is a process (methods, procedures, and concepts) used to translate computational information to real-world phenomena.

CR Resource Type

Lesson/Unit Plan

Resource Provider

CS Field Guide

License Type

Attribution Non-Commercial Share Alike
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