STEAM & AI Education Product

Advanced Experiment Kit

The Advanced Experiment Kit strictly aligns with the Ministry of Education's Curriculum Standards for Information Technology in Compulsory Education (2022 Edition), comprehensively covering the teaching requirements of the "Process and Control" module in the third stage and the "IoT Practice and Exploration" module in the fourth stage of compulsory education. Centered on a high-performance ESP32 chip, the kit integrates Wi-Fi and Bluetooth communication, and expand abundant I/O interfaces and module expansion capabilities. It adopts an integrated design, supporting 180° flat opening. The left side serves as the experimental operation area, while the right side functions as the module functional area, facilitating both teaching and practical operations.

Course Topic
AI
Suitable Age
Grades 5 to 9
OEM / ODM Custom CE · FCC · RoHS Global Shipping

Product Details

Name: Advanced Experiment Kit

Suitable Age: Grades 5 to 9

Components:

No.Material Name
1ESP32 motherboard
2Servo motor
3DS18B20 temperature sensor (including waterproof probe)
4PIR Sensor
5Button sensor
6Rotary variable resistor
7Film pressure sensor
8RFID card reader & RFID card
9Temperature and humidity sensor
10Ultrasonic sensor
11Soil moisture sensor
12PTC sensor
13MP3 module
14Fan module (driver board + fan module)
15Ultrasonic atomization sensor (drive plate + atomization bottle)
16Rain Drop sensor
17LED module
18Expansion board
19AI Camera (optional)

Product Introduction: "The Advanced Experiment Kit strictly aligns with the Ministry of Education's Curriculum Standards for Information Technology in Compulsory Education (2022 Edition), comprehensively covering the teaching requirements of the ""Process and Control"" module in the third stage and the ""IoT Practice and Exploration"" module in the fourth stage of compulsory education. Centered on a high-performance ESP32 chip, the kit integrates Wi-Fi and Bluetooth communication, and expand abundant I/O interfaces and module expansion capabilities. It adopts an integrated design, supporting 180° flat opening. The left side serves as the experimental operation area, while the right side functions as the module functional area, facilitating both teaching and practical operations."

Course Introduction: "The course focuses on intelligent control, IoT applications, and AI applications, and is divided into four modules: Fundamentals of Python Programming, Principles of Control Systems, IoT Technology, and AI Perception and Interaction. It systematically cultivates students' comprehensive practical abilities. The content covers core technologies such as programming logic and control principles, communication protocols including IoT and Bluetooth, AI image recognition, large language models, as well as speech recognition and synthesis. Preliminary applications are completed through case studies. In practical projects like noise monitoring, constant temperature systems, remote door locks, and digital weather stations, students will master the complete technical path from underlying perception to intelligent linkage. This will comprehensively enhance their programming skills, systematic thinking, and engineering practice capabilities, laying a solid foundation for in-depth learning and innovative applications."

Course Catalog:

Lesson No.Course NameLesson No.Course Name
Lesson 1Basic Python SyntaxLesson 19Data Meteorological Monitoring System
Lesson 2Python OperatorsLesson 20Elevator Call System
Lesson 3Conditions and LoopsLesson 21Elevator Overload Monitoring System
Lesson 4Strings and ListsLesson 22Internet of Things (IoT) Basics
Lesson 5DictionariesLesson 23The Value of IoT
Lesson 6Function ApplicationsLesson 24IoT Data Transmission and Protocols
Lesson 7Understanding Control SystemsLesson 25Accessing Internet Data
Lesson 8Understanding On and OffLesson 26Bluetooth Tool Usage
Lesson 9Specifications and Principles of ControlLesson 27Understanding MQTT Protocol
Lesson 10Input, Output and CalculationLesson 28Doorbell Remote Notification
Lesson 11Continuously Changing DataLesson 29Remote Unlocking
Lesson 12True and False in Switch ValuesLesson 30IoT Exploration Tools
Lesson 13AND/OR Operations of Switch QuantitiesLesson 31Digital Weather Station
Lesson 14Understanding Open-Loop ControlLesson 32QR Code & Color Recognition
Lesson 15Understanding Closed-Loop ControlLesson 33Face Recognition Application
Lesson 16Modular Design of Control SystemsLesson 34Speech Recognition
Lesson 17Noise Monitoring and Alarm SystemLesson 35Speech Synthesis
Lesson 18Constant Temperature SystemLesson 36LLM Integration and Application


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