🚀 Space Base AI Safe

Face Recognition & Security Logic Lesson

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I. Learning Objectives

Students will:

• Real-world Security Understanding
  Understand how Face Recognition is used in real-world security systems:

  • Access control
  • Safes
  • Laboratories
  • Space bases

• AI Vision Capability
  Learn the face recognition capability of an AI Vision Sensor and understand the concept of identity.

• System Design Thinking
  Learn how to design a system that connects:
  AI recognition results → security rules → motor behavior

• Security Strategy Awareness
  Understand security strategies such as:

  • Failure counting
  • Risk escalation
  • Two-person authentication

• Security & Systems Thinking
  Develop system modeling and security thinking:

  Identity ≠ Authorization
  Higher risk → stricter verification

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II. Preparation

1. Hardware

• Controller

  • LEGO SPIKE Prime / EV3 Hub × 1

• Motor

  • Medium Motor × 1
    • Used for rotating the safe dial or opening the door
    • Example: Port D

• AI Vision Sensor

  • × 1
  • Set to Face Recognition Mode

• LEGO Structure

  • LEGO bricks to build a safe
  • With a door or rotating dial
  • Door can be unlocked or opened by the motor

• Hub Screen

  • Displays authentication status and prompts

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2. Software

• LEGO SPIKE / EV3 programming environment
• AI Vision Sensor firmware supporting Face Recognition Mode

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3. Teaching Materials

Students can role-play or use prepared images:

• Captain
• Astronaut
• Visitor

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III. Teaching Process

1. Introduction (5 Minutes)

Scenario Setup (Storytelling)

Teacher explains:

This is a space base.
Inside the safe are classified mission files.

• Normally, either the Captain or an Astronaut can open the safe.
• If the system detects multiple failed attempts, it assumes the base is at risk.
• In high-risk situations, two people must authenticate together.

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Guiding Questions

• Why shouldn’t anyone be able to open the safe?
• What happens if someone keeps trying?
• How do banks or laboratories handle this in real life?

📌 Key Idea Introduced

Today we will build an AI Safe that upgrades its security level.

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2. Building (10–15 Minutes)

Structure Explanation

• Reference LEGO official safe or rotating lock designs
• One motor is responsible for:
  • Rotating a lock dial, or
  • Opening / closing the door

Key Emphasis

• The mechanical structure is not the focus
• The key question is:

Who decides when the motor is allowed to move?

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3. Programming (25 Minutes)

(1) Core System Rules — Logic First

Basic Rule (Normal Mode)

• Captain → ✅ Open
• Astronaut → ✅ Open
• Visitor → ❌ Denied

Risk Escalation Rule

• Multiple failures → High-Risk Mode
• High-Risk Mode → Two-person authentication required

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(2) Face Recognition Logic Design

Example face recognition results from the AI Vision Sensor
(Face Mode):

• 0 → Not recognized / No face
• 1 → Captain
• 2 → Astronaut
• 3 → Stranger / Visitor

IDs can be adjusted based on your sensor configuration.

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(3) Single-Person Access — Stage 1

Program Logic

• If recognized face is Captain OR Astronaut → Motor unlocks the safe

Teaching Points

• Simple if condition
• OR logic
• AI result → motor action

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(4) Failure Counting & Mode Switching (Key Concept)

Added Variables

• fail_count → number of failed attempts
• mode → normal / high_risk

Logic Flow

• Stranger detected → fail_count + 1
• If fail_count exceeds threshold → switch to high_risk

📌 Key Teaching Message

AI is not just recognizing faces.
The system remembers what happened before.

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(5) Two-Person Authentication (Advanced Rule)

Dual Authentication Logic

Authentication Flow

1️⃣ First face detected

• Must be Captain or Astronaut
• Hub displays:
  “First authentication successful. Please verify second person.”

2️⃣ Second face detected

• Must be different from the first
• Both must be authorized users

➡️ Only then does the motor unlock the safe

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Hub Screen Messages (Examples)

• “High-Risk Mode”
• “Verified: 1 / 2”
• “Dual authentication successful. Unlocking…”

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Code Examples

• SPIKE code example
• RobotCode example
  First, you need to set up a face template.
  Then, code

4. Demonstration & Testing (10 Minutes)

Students test the system in groups.

Normal Mode

• Captain → ✅ Opens
• Astronaut → ✅ Opens

Triggering Risk Mode

• Stranger attempts multiple times

High-Risk Mode

• One person alone → ❌ Denied
• Two authorized people in sequence → ✅ Opens

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Observation Points

• Does the system truly upgrade its rules?
• Are Hub messages clear and understandable?
• Does the motor behave as expected?

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IV. Extension & Discussion (10 Minutes)

Encourage students to enhance the system:

1️⃣ Time Window

• What if both people must authenticate within 10 seconds?

2️⃣ Reset Logic

• What if the second person never comes?

3️⃣ Escalation

• What if failures keep increasing?
• Add alarm or full system lockdown

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V. Lesson Summary

Students Learned

• Face recognition ≠ a simple open button
• AI can participate in security decision-making

Students Mastered

• Basic use of face recognition
• Failure counting and state switching
• Single-person vs dual-person authentication logic

Students Experienced

🚀 A realistic AI security system —
just like a real space base safe

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VI. Classroom Presentation Materials

🎥 Demo Video