Machine Learning Blocks

Start training model

Click to enter the machine learning interface.

Start recognition (computer camera)

Enable the computer’s camera to recognize using the trained model.

Start recognition (robot camera)

Turn on the robot’s camera and start recognition.

Stop Recognition

Stop recognition and turn off the robot camera and computer’s camera.

Start Recognition (Web Camera)

Enable an external network camera and start recognition.

Recognition result is ()

Check whether the recognized result matches the selected category.

Confidence of recognizing ()

Return the confidence score for the specified category.

Example

Train two machine learning models and use programming logic to make the character respond differently based on which model is successfully recognized.

Operation Steps


Step 1: Connect ICRobot to the programming software (refer to AP/STA connection method).	Step 2: Add the Machine Learning Extension.

Step 3: Click “Start Training Model” to select the training type: image recognition, gesture recognition, or pose recognition.	Step 4: Choose to Create a New Project or Import an Existing Project.

Step 5: Click the camera icon under each category to enable the corresponding camera.	Step 6: Continuously capture training images using the camera.

Step 7: Click the “Train Model” button to begin training. If you want to save the project, click “Export Project” in the top-right corner. Click “Use Model” in the bottom-right corner to return to the block programming interface.