2.1 Face Recognition
0. Introduction to [Face Recognition]
The [Face Recognition] model detects human faces and allows up to 10 face data entries to be registered and trained. Users can register faces one by one to create their own face recognition model. Once trained, the model will detect and verify whether a recognized face matches a registered entry. Additionally, the model distinguishes each face based on the order in which it was registered.
1. How to Train the [Face Recognition] Model
When the [Face Recognition] model is first launched, it detects all faces in view.
If an untrained face is detected, it will be highlighted with a white box.
Once training is complete, a pop-up message will ask: "Would you like to continue training?"
Select "Yes" to train additional face data.
Select "No" to finish the training session.
Up to 10 unique IDs can be registered.
The same face can be assigned multiple IDs, so careful management of ID assignments is required.
When adding new face data, previously trained faces will be displayed with their assigned ID and corresponding color.
2. Completing Model Training
To finalize the [Face Recognition] model training, press and hold the button on the AI Camera for 2 seconds.
If the button is not held down long enough, the system will return to the AI Model Selection screen, and the model training will have to be restarted from the beginning.
When the [End Training] pop-up appears, press the button to confirm the completion of training.
✅ After completing the training:
You can now test your custom face recognition model.
Check if the results match your expectations:
Are the correct faces being recognized?
Is the data order correct?
3. How to Save a Trained Model
Once the model has been successfully trained and verified, it can be saved in HUENIT OS. This allows the model to be used later in HUENIT LAB (Software).
Press and hold the button on the AI Camera after training is complete.
Click [Save Current Model] to store the trained model in HUENIT OS.
If the training results are unsatisfactory, click [Delete & Retrain] to restart the training process.
In [Save Model], choose a storage slot other than the 6th option (Non-Savable).
"Empty Space" indicates an available slot with no saved model.
Slots with existing names already contain trained AI models.
⚠ Warning: Saving a new model in an occupied slot will overwrite and delete the existing model.
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