Introduction
The Smart City Kit is an AI learning kit designed for algorithm and AI education. Used with the UNIHIKER K10 (required, sold separately) and Mind+, it brings learning into real public-service scenarios — museums, stores, and communities. Across 12 guided projects plus one capstone challenge, learners build interactive devices for guidance, exhibit protection, safe access, smart checkout, member services, and community applications, exploring image and voice recognition, QR codes, RFID, model training, sensing, visual feedback, and actuator control — while designing input–decision–output logic, testing system performance, and considering privacy, safety, fairness, and responsible AI use.
Main scenarios: AI at the Museum · AI at the Store · AI in the Community · Design Your AI City Solution
AI at the Museum — voice-guided navigation, interactive portrait guides, proximity-based exhibit protection, RFID access verification.
AI at the Store — QR-code self-scan checkout, image-classification model training, real-time unmanned checkout, safe member points.
AI in the Community — construction-zone safety warnings, clothing color pre-sorting, a smart community package locker.
Design Your AI City Solution — capstone: choose a real city scenario and build an AI interactive device to solve a problem.
Note: the UNIHIKER K10 controller is required and is not included in this kit.
Why choose this kit
12 guided projects + 1 capstone challenge across museum, store, and community scenarios.
Core AI learning — image recognition, voice recognition, QR code and RFID identification, and model training with real-time deployment.
CSTA- and AI4K12-aligned — outcomes map to the CSTA Computer Science Standards, the AI4K12 Five Big Ideas, and the CSTA & AI4K12 AI Learning Priorities (2025).
Responsible AI built in — every AI project includes prompts on privacy, bias, fairness, and safe use.
Complete teaching materials — unboxing guide, teacher manual, challenge cards, and a full course outline.
Expandable — pair with the Smart City Map Kit to set devices into a map layout and add vehicle-based tasks.
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What learners gain
Explain how image, voice, QR code, and RFID recognition work in a system.
Collect data, train a simple classification model, deploy it, and judge when it is reliable.
Design an input–decision–output device that serves a real public-service need.
Identify privacy, safety, and fairness issues in an AI system and adjust the design.
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Specification
Controller: UNIHIKER K10 (not included)
Programming Platform: Mind+
Projects: 12
Shipping List
IO Extender for UNIHIKER K10 × 1
UNIHIKER K10 Protector × 1
Digital Push Button × 1
Digital Steel Ball Tilt Sensor × 1
RFID Module × 1
RFID Cards × 2
WS2812 RGB LED Strip × 1
Servo × 1
AI Recognition Cards × 1 set
Connection Cables, several
Building Blocks, several
