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AI Module

Note:If you buy in bulk, please leave a message directly, we offer wholesale prices.
Price: $ 478


The DJI AI Module is designed for AI classroom instruction at the primary and secondary school level. This product provides a comprehensive learning platform, relevant courses, competition support, and powerful expansion capabilities. It has everything you need to start teaching students about AI. With this tool, students will enjoy a higher-quality and more comprehensive learning experience. Start creating new possibilities for AI education!

True AI learning

In-depth coverage of AI principles
Develop your own AI apps

All-in-one learning platform

A complete educational tool with everything you need
Teach and learn with greater ease and efficiency

Lessons and experiments

Combines theory with practice
Develops skills for technological innovation

In-depth coverage of AI principles

With the AI Module, students will gain an in-depth understanding of deep learning, image recognition, and other AI technologies. By understanding the technical principles behind these applications, they will better appreciate the true power of AI.


Develop your own applications from scratch

Students will build their own AI applications, starting with data collection and proceeding through data labeling, model training, model deployment, and model application. They will learn the entire AI process through hands-on practice.[1]


Full integration, complete solution

This all-in-one learning platform includes an AI training platform and programming tools, as well as a competition platform and evaluation system. It comes with a wide array of teaching resources to make it easier for teachers to teach and students to learn.

Competition support, hands-on practice

The RoboMaster Competition is a team-based robot battle competition created by the DJI RoboMaster team for primary and secondary school students across the country. This competition requires participants to master the RoboMaster EP and AI Module in order to successfully apply technologies such as AI automatic targeting. The RoboMaster Competition reinforces students' understanding of AI and gives them a chance to use what they have learned.


Systemic courses [3]

Our courses cover computer vision, machine learning, neural networks, and other cutting-edge science and technology topics. In addition, by learning about the RoboMaster EP and AI Module, students will gain a systematic understanding of the technical principles behind AI. This will give them a more complete comprehension of AI.


Real-world experiments

The AI Module is designed based on the idea that true knowledge is gained through practice. Therefore, in addition to a full course system, it also provides real-world experiments that push students to apply what they have learned.With the developer tools and comprehensive development tutorials provided, students can develop their own applications. This way, they will gradually master AI capabilities through hands-on exploration.

AI Education Set

Get started with deep learning by using this genuine AI tool!


Core module

Computing unit

  • CPU

  • Dual-core 64-bit RISC-V CPU, base frequency: 400MHz, each with independent single-precision FPU
  • NPU

  • Neural network accelerator, supports operator acceleration such as convolution, pooling, and activation, computing power: 0.8Tops
  • SRAM

  • 8MB 64-bit
  • Flash

  • 16MB NOR Flash

AI performance

  • Task type

  • Supports machine vision - target detection tasks
  • Toolchain

  • All-in-one visual AI training platform, allows beginners to easily train their own models
  • Neural network model

  • Customized and improved YOLOv2
  • Model input

  • 320x240RGB, 16-bit
  • Model calculation time

  • <9ms


  • Sensors

  • 1/4-inch, color, global exposure, 60fps
  • Output image

  • Resolution: 320x240, 16-bit color depth
  • Lens

  • FOV: 40°, fixed focal length: 8mm
  • Lens holder

  • Manually adjustable pitch axis


  • Weight

  • 9g
  • Dimensions

  • 54x32x11mm
  • Power supply

  • Micro USB power supply or 14pin expansion port 5V power supply, supports hot swapping, short circuit protection, overcurrent protection, and overheating protection
  • Power consumption

  • About 1.25W
  • Output port

  • Serial port (inference results), SPI (video stream)
  • Auxiliary functions

  • Button x1, RGB LED x1



  • Screen size

  • 2.4 inches
  • Display image

  • Resolution: 320x240, 16-bit color
  • Display port

  • 8-bit MCU parallel interface


  • Weight

  • 42g
  • Dimensions

  • 67x49x15mm
  • Power supply

  • 5V, supports hot swapping
  • Power consumption

  • About 250mW
  • Auxiliary functions

  • Button x2, SD card slot x1 (must be used with core module)

Universal expansion module


  • Dimensions

  • 58x46x15mm
  • Weight

  • 22.5g
  • Power supply

  • 5V/12V, supports hot swapping
  • Power consumption

  • About 500mW
  • MCU

  • i.MX RT1064, base frequency: 600MHz, 1MB RAM + 4MB ROM
  • Open source

  • SDK development supported
  • Expandability

  • 14-pin extended interface (I2C, UART, SPI, GPIO, PWM, and power supply)
  • 100-pin expanded interface (power supply, GPIO, and other reusable functions)
  • Auxiliary functions

  • Button x2, SD slot x1

AI training platform


  • No. of labeling tasks

  • Advanced Edition:3
    Professional Edition:5
    Professional Edition - AI Service Package:15
  • No. of datasets

  • Advanced Edition:3
    Professional Edition:8
    Professional Edition - AI Service Package:25
  • No. of datasets per training round

  • Advanced Edition:3
    Professional Edition:5
    Professional Edition - AI Service Package:8
  • No. of algorithms for training

  • Advanced Edition:3
    Professional Edition:5
    Professional Edition - AI Service Package:15
  • No. of simultaneous algorithm training tasks

  • Advanced Edition:1
    Professional Edition:2
    Professional Edition - AI Service Package:3
  • No. of models

  • Advanced Edition:3
    Professional Edition:8
    Professional Edition - AI Service Package:25
  • No. of algorithm applications

  • Advanced Edition:3
    Professional Edition:5
    Professional Edition - AI Service Package:15
  • Avg. algorithm training time

  • Advanced Edition:Long
    Professional Edition:Long
    Professional Edition - AI Service Package:Shorter

What is AI Module?

The AI Module is a hardware and software educational tool designed for in-classroom use at the primary and secondary school level. It aims to provide a beginner-friendly and interesting environment where students can learn about artificial intelligence (AI) and development. In terms of functions, this product possesses machine vision - target detection capabilities. It can recognize user-defined targets and report their position and size.You can use this model to allow robots to perform a wide range of AI functions, such as simple autonomous driving, gesture recognition and following, and automated transportation. Students will develop AI projects from scratch, directly participating in data collection, labeling, model training, and robot programming. This way, they will grasp the basic theory of AI and gain hands-on experience in AI project development.

Can user use the AI Module to train their own AI model?

Yes.Using the AI Training Platform provided by the DJI Education Hub, users can create their own data sets, train their own AI models, and easily download trained models to hardware modules to run AI recognition algorithms offline.

What robots should I use the AI Module with?

To use the AI Module with the DJI RoboMaster EP (must use the RoboMaster universal expansion module to adapt to the AI module), go to "Create Program" under "My Programs" on the DJI Education Hub for graphical programming, or use the Python SDK for code-based programming. To use the AI Module with the DJI RoboMaster TT, you can use the Python SDK for code-based programming.Both robots have built-in programming interfaces that can be used with the AI Module.For more information, see the Programming Manual and RoboMaster Developer's Manual: https://robomaster-dev.readthedocs.io. To use the AI Module with a third-party robot platform, you can use the serial port to obtain the identification results returned by the AI Module, but you must parse this data on your own.For more information, refer to AI Module Routines Used By Third-party Controllers.

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