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Cybersecurity: Radio Tilt Control

Curriculum

  • 1 Section
  • 37 Lessons
  • Lifetime
Expand all sectionsCollapse all sections
  • Cybersecurity: Radio Tilt Control
    37
    • 1.1
      Measure Accelerometer Tilt
    • 1.2
      Test Tilts
    • 1.3
      A Bit About Acceleration
    • 1.4
      Inside the micro:bit Accelerometer
    • 1.5
      How the Script Works
    • 1.6
      Try This: Take X and Y Rotation Samples
    • 1.7
      Your Turn: Combine Tilt and Rotation
    • 1.8
      Measure Rotation Angles
    • 1.9
      Measuring Rotation Angles
    • 1.10
      How Measuring Rotation Angles Works
    • 1.11
      Did You Know? Trigonometry and Rotation Angles
    • 1.12
      Measure How Far from Vertical or Level
    • 1.13
      How It Works
    • 1.14
      Z-Axis: Which Way Is Up?
    • 1.15
      How it Works: Z axis
    • 1.16
      Did You Know? This Way Up
    • 1.17
      Try This: Get Familiar Z-Axis Angle Measurements
    • 1.18
      Your Turn: All Together Now
    • 1.19
      Display Tilt Direction
    • 1.20
      Try This: Negative Hour Values
    • 1.21
      Your Turn: Display Tilt Direction
    • 1.22
      Tilt Radio Tests
    • 1.23
      Radio-Transmit Tilt
    • 1.24
      Radio-Receive Tilt
    • 1.25
      How the Tilt Radio Tests Work
    • 1.26
      Tilt Control Forward and Backward
    • 1.27
      Rapid Radio-Transmit Tilt Data
    • 1.28
      Rapid Radio-Receive Tilt Plus Forward/Backward Control
    • 1.29
      Adding a Stop Range
    • 1.30
      Transmitter Displays Stop Range
    • 1.31
      Receiver Full Tilt Control and Stop Range
    • 1.32
      Add Left/Right Tilt Control
    • 1.33
      Update the Receiver cyber:bot Script
    • 1.34
      How the Receiver Works
    • 1.35
      Radio Tilt Controlled cyber:bot App
    • 1.36
      Radio Tilt Controlled cyber:bot Code
    • 1.37
      Radio Tilt Controller Code

How It Works

Did You Know

About Motion Control

The motion.maneuver(left_speed, right_speed, duration) command runs both wheel servos simultaneously for a specific time. Negative speeds reverse direction, allowing curved or in-place turns.

About HUSKYLENS Models

The HUSKYLENS can store up to six models on its microSD card. Each model can contain multiple learned faces, colors, or tags that can be recalled in later programs.

How It Works

This activity combines two modules—HUSKYLENS vision and cyber:bot navigation—to create an interactive behavior loop. Most setup and I2C initialization steps were introduced in earlier activities. Here, the focus is on loading and acting upon stored training data.

The switch_algorithm(“face”) command places the HUSKYLENS in face-recognition mode, and manage_model(“load”, 1) recalls the previously saved face model from the SD card. This allows the camera to recognize faces learned in an earlier session.

switch_algorithm("face")
manage_model("load", 1)

The code below checks for button presses so you can cycle through trained face IDs. This part adds flexibility, letting you test recognition of multiple people.

if button_a.is_pressed():
current_id += 1
if current_id > 5: current_id = 1

The most important new logic appears in the request_data() loop. This section fetches visual results from the HUSKYLENS, checks whether a specific ID is visible, and triggers movement accordingly. When a match is found, the cyber:bot displays a check mark, performs a left-then-right turning sequence, and restores the displayed ID. If no faces are detected, it stops and shows an idle icon.

if is_visible(current_id, "block"):
display.show(Image.YES)
motion.maneuver(-75, -25, 2000)
sleep(6000)
motion.maneuver(75, 25, 2000)
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