Classroom Vision AI

Vision AI Kit: Master Edge Vision Recognition in 1 Class (Edge Impulse + ESP32-CAM)

Students struggle to configure deep learning environments; Teachers lack integrated kits to demonstrate "collect-train-deploy" workflow. Vision AI Kit enables 12-16 year old students to complete fruit classification demo in 10 minutes, reducing class preparation time by 70%.

ESP32-CAM Real-time Image Recognition Demo

Real-time Recognition

Confidence: 94.2%

4 Steps to Complete Classroom AI Vision Project

From data collection to model deployment, fully visual operation

Data Collection

ESP32-CAM captures photos of objects from different angles, automatically uploads to Edge Impulse cloud

Cloud Training

Drag-and-drop CNN parameter configuration, one-click model training, real-time accuracy monitoring

How to flash an Edge Impulse model in 30 seconds?

Via USB connection, Edge Impulse Studio automatically compiles and flashes optimized TinyML firmware to ESP32

Real-time Testing

Local inference without network, LED displays recognition results, supports serial monitor debugging

Meets International STEM Curriculum Standards

K-12

NGSS ETS1-1 Engineering Design

→ Complete "identify-classify-optimize" engineering cycle through Vision AI Kit, developing systematic thinking

CSTA 2-AP-13 Algorithms & Programming

→ Understand machine learning training process, master data-driven problem-solving methods

ICT

ICT C.3 Digital Creation

→ Combine hardware programming with AI training to achieve interdisciplinary project-based learning goals

Real Teacher Feedback

"CNN concepts that used to take 2-3 classes to explain clearly can now be experienced hands-on by students in just one class with Vision AI Kit. Student learning interest and depth of understanding have significantly improved."

Li Wenhua - Information Technology Teacher, Beijing No.11 School

"Vision AI Kit solved our biggest pain point in STEM curriculum: how to make abstract AI concepts tangible. Now every student can train their own model."

Mike Smith - Lincoln High School STEM Coordinator

Get Educational Exclusive Quote Now

Includes complete curriculum package, teacher training materials and technical support

Frequently Asked Questions

Do students need programming background?

No. Vision AI Kit uses drag-and-drop interface, students can complete model training through Edge Impulse Studio's visual tools without writing code.

How long does it take for a class to complete the project?

A standard 45-minute class period can complete the basic demonstration. Data collection 5 minutes, cloud training 15 minutes, deployment testing 10 minutes, remaining time for discussion and extension.

What recognition scenarios are supported?

Built-in template projects include fruit classification, gesture recognition, text detection. Teachers can customize recognition targets according to curriculum needs, such as campus plant classification, laboratory equipment identification.