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  • Train the model

  • This part may get a bit tedious but you can find a rhythm and start to have fun providing your own opinions into this candy detector model! You'll draw and label bounding boxes around the images of candy you want to use to train the model. Create two...
  • Building a Dataset

  • We downloaded around 20-25 audio files for each bird and worked on preprocessing using software called Audacity. And then proceeded to augment the data, while infusing noise. And this helped us generate 200 files of 10 seconds each for all four of the...
  • Model Testing

  • Every Edge Impulse project has a test dataset in addition to its training data. The test dataset is immediately saved with the samples taken in Live classification, and the Model testing page displays all of the test data. To use the sample that was...
  • Data acquisition, and labelling

  • Open studio.edgeimpulse.com , login (or create an account first) then create a new project. Choose Images project option, then Classify Multiple Objects. In Dashboard > Project Info, choose Bounding Boxes for labelling method and Nicla Vision for target...
  • Voice recognition

  • Music visualizer would be fancy but it wouldn't work in this case and MXChip IoT DevKit can do more powerful things anyways. How about training the board to recognize the correct pronunciation of Grace and tell me if I read anything wrong? I am now starting...
  • How to play with the project?

  • You will need a Sipeed M1 Dock Kit and a micro SD card. Note there may be compatibility issues on the micro SD card. You do need a FAT formatted card. For me, I just used a cheap 8G one and it worked. The next step is to upgrade MaixPy...
  • Bill of Materials

  • I list specific parts throughout the instructions because that is how I built a working model, but substitutions are fine, so long as you understand why I picked the parts I show. 1" Pipe - This should have an inner diameter (ID) of 1" or 25mm18650 battery...
  • About The Project

  • In this Upgrade Project, I Have added The following New parameters 1. SpO2 2. IR Temperature Sensor 3. LCD Display 4. Voice Broadcasting 5. Data Saving For Future ML Training In the previous project, I added the basic details of different Classifications...