Artificial Intelligence Computer Perception－AI4kids

Sensors allow computers to perceive the world, and computer perception is about extracting meaning from sensor signals.

Examples of computer perception

● Voice recognition: Voice assistant (Siri)

Voice Assistant: Siri

● Visual recognition: face recognition, object recognition, license plate readers in parking lots, scene recognition ● There are other forms of sensors, such as music recognition, sonar sensing, and laser sensing

Key Concepts

● Human perception vs. computer perception ● From sensing to perception ● Types of perception, such as vision, speech ● Limitations of computer perception ● Artificial intelligence vs. worker intelligence

Indicators of students’ learning ability at different stages

Elementary school first and second grade:

● Understand the sensors on computers and robots and their applications ● Interact with smart machines, such as Siri and Alexa

Elementary school third to sixth grade:

● Describe how sensor input is converted into digital or analog signals ● Understand that computer perception is not omnipotent ● Make an application using a sensor (perhaps using Scratch or Calypso)

Junior high school 1st to 3rd grade:

● Explain how sensor limitations affect computer perception ● Explain that sensors can run multiple algorithms simultaneously and apply them to multiple sensors ● Build an application using multiple sensors and perception methods (perhaps using Scratch or Calypso)

High school 1st to 3rd year:

● Describe different forms of computer perception and their background knowledge ● Know the difficulties of speech recognition in dealing with homophones and ambiguity

For more information, please refer to the book "Learning AI is Really Easy Series - Machine Learning" published by AI4kids.

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