Using Huskylens to Identify Objects

 https://wiki.dfrobot.com/HUSKYLENS_V1.0_SKU_SEN0305_SEN0336#target_21

7.7 Object Classification

This function can learn multiple photos of different objects, and then use the built-in machine learning algorithm for training. After the training is completed, when the learned objects appear again in the HuskyLens' camera, HuskyLens can recognize them and display their ID numbers. The more HuskyLens learns the photos of the same object, the more accurate the recognition can be.

The default setting is to learn multiple objects. This chapter uses recognizing whether a worker wears a helmet as an example to demonstrate.

Operation and Setting

1. Dial the function button to the right or left until the words "Object Classification" is displayed at the top of the screen.

2. Long press the function button to enter the parameter setting of the object classification function.

3. Dial the function button until "Learn Multiple" is displayed, then short press the function button, and dial to the right to turn on the "Learn Multiple" switch, that is, progress bar turns blue and the square icon on the progress bar moves to the right. Then short press the function button to confirm this parameter.

   

4. Dial the function button to the left until "Save & Return" shows. And the screen prompts "Do you want to save the parameters?" Select "Yes" in default, now short-press the function button to save the parameters and return automatically.

Learning and Detection

You can use the following picture to test.

1. Object Learning:

Point the large frame at the first target object(the worker with a helmet on the left in the picture above), and long press the “learning button”, a yellow frame with words "Learning XX/30 ID:1" will be displayed on the screen, indicating that HuskyLens is learning the object now. Adjust the distance and angle, let HuskyLens learn the object in various distances and angles. Then, release the "learning button" to complete learning the first object, meanwhile, a message "Click again to continue! Click other button to finish" will be displayed. Please short press the "learning button" before the countdown ends if you want to learn other objects. If not, short press the "function button" before the countdown ends, or do not press any button to let the countdown ends.

In this chapter, you need to continue to learn the next object (the worker without a helmet on the right in the above picture), so press the "learning button" before the countdown ends, and then point the large frame at the second target object, long press the "learning button" to complete the learning of the second object. And so on.

The order of the object ID and the learned object is the same, that is: the learned objects will be marked as "object: ID1", "Object: ID2", "Object: ID3", and so on, and the color of the frame corresponding to the object is also different.

2. Object Recognition:

When HuskyLens encounters the learned object again, its ID number will be displayed on the screen. As shown in the figure below, when HuskyLens recognizes that the worker is wearing a helmet, the screen displays ID1, and if there is no helmet, it displays ID2.

More interesting ideas based on object classification: https://community.dfrobot.com/makelog-308212.html

Example 3: Rubbish Classification 

Seemingly very advanced garbage classification function, through machine learning is very simple to achieve. And then connect the main control board control a few rudders can simulate the real garbage classification function. Since it can sort garbage, functions such as coin sorting, fruit sorting, canteen self-clearing and others can also be easily realized.