Support for AI Education Set

First, make sure your dataset is sufficiently diverse. The following measures can help improve the recognition performance:

1. The dataset should include images of the target from various angles so that the model can properly learn the features of the target.
2. The target should be located in different areas of the images and at different distances from the camera in order to control for lens distortion.
3. The images in the dataset should have environments with diverse textures, colors, and lighting conditions to control for environmental factors.
4. When a single image has multiple instances of a target or multiple targets of different types (such as 2 apples and 1 pear), all the targets must be labeled. Otherwise, unlabeled targets will be considered negative samples, which will affect the training results.
In addition, when creating a new training task, enable the data enhancement and background enhancement options to increase the diversity of the dataset.
Finally, add additional model training steps as appropriate to improve model convergence and achieve better training results.However, more training steps is not always better. Too many steps can significantly increase the training time or lead to overfitting, which reduces the training performance.

Check the connectors and cable between the core module and touchscreen to make sure they are connected properly. If the screen still does not work, please contact our after-sales service.

First, check that the 14-pin extended interface is properly connected to the 14-pin extended interface of the touchscreen module.When using the display screen cable, you cannot use a microSD card because the 14-pin extended interface is not available.
If the device recognizes the microSD card but prompts that it must be formatted, format the SD card after backing up any important data on it.If you still cannot use the card after formatting, try using a different microSD card.

After backing up any important data on the microSD card, tap the option on the touchscreen to format it and try again.If it still does not work, please contact our after-sales tech support.

The RoboMaster EP and RoboMaster TT were adapted to support the AI Module by a firmware update released in May 2022. Please check for updates.

You cannot use a third-party Type-C cable with the AI Module.The display screen cable used to connect the core module and touchscreen is specially designed for this device. You must use the official cable.

You can connect the adapter extension board to the 14-pin extension interface of the main board and connect the serial port signal and power lines to the pin header in order to connect a third-party controller to the AI Module using a Dupont cable.The signal names in the silkscreen table below the pin header correspond to the pins of the pin header.For more information, see the AI Module User Manual.

The RoboMaster universal expansion module supports 5V power supply through the micro USB interface and 12V power supply through the CAN interface.

The processor of the RoboMaster universal expansion module is the i.MX RT1064DVL6, based on the Cortex-M7 core, with a maximum clock speed of 600 MHz and 4MB on-chip flash and 1MB on-chip SRAM.

Use a CAN data cable to connect the RoboMaster universal expansion module to one of the CAN interfaces on the RoboMaster EP robot and then use the RoboMaster app to perform the update.

Connect the RoboMaster universal expansion module to the core module of the AI module via the 14-pin interface and use a micro USB cable to connect your computer to the universal expansion module.Then, the computer will prompt you to connect a camera device and virtual serial port device. You can use the core module camera to collect images for the computer or you can use the virtual serial port device to communicate with the core module of the AI Module and read recognition data.

All interfaces other than the micro USB and CAN BUS interfaces support hot swapping.Forced hot swapping may burn out the onboard chip and irreversibly damage the module.Hot swapping SD cards may corrupt the data on the cards.

Yes, this product comes with a system of courses. 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.The product also comes with electronic lesson plans and PPTs to help teachers prepare for their classes.To view course information, go to "Learning Resources" on the DJI Education Hub: https://edu.dji.com/hub/teacher/resourceBase?t=536.

For price and purchasing inquiries, click "Buy Now" in the upper-right corner and provide your contact information. We will arrange for an expert to contact you as soon as possible.You can also contact your local DJI Education authorized dealer.

This product is beginner-friendly while providing advanced capabilities and high versatility. It is designed for primary and secondary school students, but university students may also benefit from it.

This product can be used for after-school classes for primary and secondary school students, practical learning activities, community courses, science courses, IT courses, general technology courses, and other types of classes. It can even be used for research purposes by university students studying AI and robotics.

DJI will provide course materials and instructor training services. For the training schedule, please follow DJI Edu (大疆教育) on WeCom or contact your local DJI Education authorized dealer to get the latest information.