HuskyLens X Micro:Bit AI Application Course
Learn about HuskyLens and micro:bit, explore AI visual technology
Learn HuskyLens AI camera’s object, color, and facial recognition technology, and develop innovative interactive applications with micro:bit integration.
This course introduces students to the combined application of the HuskyLens AI camera and micro:bit, allowing them to experience how artificial intelligence enhances the intelligence of interactive devices through visual recognition technology. Students will learn AI techniques such as object recognition, facial recognition, color tracking, and gesture control, while using the micro:bit for data processing and automation control to create innovative applications.
Through hands-on projects such as smart access systems, AI-powered smart cars, and gesture-controlled devices, students will gain a practical understanding of how AI vision technologies work and where they can be applied. With graphical programming, students can get started easily—no complex coding required—enabling them to develop their own AI smart projects.
This course not only enhances students’ computational thinking and logical design skills but also helps them understand the real-world applications of AI, laying a solid foundation for future innovation in smart technologies.
Core Learning Content:
- Introduction to HuskyLens AI sensing module and basic operations
- Micro:bit and HuskyLens connection and data communication
- Explore AI facial and object recognition applications
- Design AI gesture and color sensing applications
- Integrate AI and IoT components for interactive projects
Course Content and Suggested Topics
This course will guide students in learning the fundamentals of the HuskyLens AI vision sensor and the micro:bit, enabling them to master AI image recognition through hands-on projects. Students will explore the six major AI functions of HuskyLens, including face recognition, object recognition, color detection, tag recognition, object tracking, and QR code reading. They will also learn how to control HuskyLens using block-based programming or Python, enabling interaction with the micro:bit.
The course includes multiple practical projects, such as:
– AI Smart Car: Using HuskyLens’s object tracking function, students will program the micro:bit to control a car that follows a path automatically.
– QR Code Smart Access System: Students will use QR code recognition to open or close an electronic lock.
– Smart Facial Expression Assistant: The micro:bit will react based on facial expressions detected by HuskyLens, such as playing music or triggering lights.
These projects help students understand the core principles of AI through real-world applications. In addition, students will learn how to read data from HuskyLens using the micro:bit and display information on an LED matrix or trigger other devices.
AI Smart Car
Students will use HuskyLens’s object tracking function to program a micro:bit-controlled smart car, enabling features like line-following, obstacle avoidance, and object following.
Students will Learn how to apply AI object tracking for vehicle navigation and grasp the basics of vehicle control programming.
Intelligent Robot
Students will build a robot that can perform automatic tasks based on visual recognition (e.g., object tracking, face recognition).
They will learn how to drive robotic actions using vision recognition, integrating sensor technology with robotic control and basic robot programming.
Recycling and Waste Sorting System
Using HuskyLens’s object recognition feature, students will create a system that classifies items (e.g., plastic, paper) based on object categories.
Skills gained:
Learn to apply AI for object classification and build automated sorting systems, understanding how technology and environmental protection can work hand in hand.
AI Anti-Theft Monitoring System
Students will design an AI-powered security system that uses HuskyLens’s facial recognition to identify visitors or suspicious individuals, and trigger alerts through the micro:bit.
Skills gained:
Skills gained:
Understand how to design image recognition-based surveillance systems and apply AI for basic security applications.
Gesture-Controlled Game
Students will create a game where characters are controlled by hand gestures using HuskyLens’s gesture recognition, and implement the game logic with the micro:bit.
Skills gained:
Apply gesture recognition to game development and understand how to integrate vision recognition with interactive gameplay.
QR Code Smart Access System
Students will design a smart access system using HuskyLens to scan QR codes, triggering the micro:bit to lock or unlock doors.
Skills gained:
Learn how to integrate QR code recognition with hardware control and understand the principles behind smart access systems.
Smart Facial Expression Assistant
Using HuskyLens’s facial expression recognition, students will create a system that responds to user emotions (e.g., playing music or adjusting lighting).
Skills gained:
Learn to analyze emotions using AI and apply it in real-life smart assistant designs.
Student Works
Learning Outcomes
Master AI Image Recognition Technologies
Students will learn how to use HuskyLens for object recognition, facial recognition, and gesture recognition, and apply these technologies in various smart devices and systems.
Learn Integration of micro:bit with AI Sensors
Students will master how to use block-based or Python programming to control the micro:bit and respond to the recognition results from HuskyLens, enabling interactive smart device functions.
Design and Develop Smart Hardware Projects
Students will combine the micro:bit and HuskyLens to design and implement innovative applications such as smart robots, smart vehicles, and recycling classification systems, enhancing their skills in hardware design and programming.
Develop Innovation and Problem-Solving Skills
Students will learn how to customize functions based on specific needs and tackle challenges throughout the development process. They will engage in system design, troubleshooting, and optimization to strengthen independent thinking and problem-solving abilities in innovation.
Enhance Hands-On and Logical Thinking Skills
Through real-world project development, students will improve their hands-on abilities and logical thinking, allowing them to solve problems effectively and create practical tech solutions.
CoolWalk Education - A Spark That Stands Out !
We firmly believe that learning should be filled with laughter and surprises.A professionally designed HuskyLens x micro:bit course that combines artificial intelligence with physical programming, allowing students to build interactive projects hands-on. Through game-based learning, they explore image recognition and AI applications, unleash their creativity, and strengthen their logic and problem-solving skills — learning in a fun and rewarding way!
Professional Team
All instructors are current students or graduates of the Hong Kong Institute of Education, and all must undergo professional STEAM education training before becoming official instructors.
Keeping Up with the Times
Combining the latest technology in the market and the most popular topics, our courses and materials are designed for primary and secondary school students by an experienced professional teaching team.
Student-Centered
We guide students to think independently and learn autonomously, combining practical and real-life challenges to spark students’ interest and creativity.
Tailored Teaching
We have extensive experience teaching various types of students, including English/Chinese schools, special schools, kindergartens, etc., and tailor courses accordingly.