The repo contains the implementation of a motion detection device that detects the up-down, right-left, circular and idle motion of the target machine i.e. mobile phone or any supported board

Connect your phone to the Edge Impulse platform once your phone is connected start collecting by clicking starting recording on your phone

Now shake your phone right-left 10 to 20 times and do the same for up-down and circular motion. For idleness leave your phone and on a plane desk and then record. Your data will appear in the Data Acquisition section don't forget to label your data.

Head to the Impulse design page in your project. Add a Spectral Analysis processing block. Add a Classification-BrainChip Akida and a K-means Anomaly Detection block to the learning blocks section. After saving impulse head on to the spectral features and generate features.

Head to the Classification-BrainChip Akida page in your project. Click Start Training. After a few minutes, the model should be done training. Now you can monitor the accuracy of the Model

Go to the Deployment Page and Scan the QR code using your phone.