Kutluhan Aktar / AI-assisted Pipeline Diagnostics
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
This model detects pipeline diagnostic classes based on the mmWave data parameters extracted from a 60GHz mmWave radar module:
After building my neural network model, I deployed my model as an Arduino library and uploaded it to Nicla Vision. Also, I employed Nicla Vision to capture images of deformed pipes for further examination and communicate with the web application I developed to generate a pre-formatted CSV file from the stored data records and display the model detection results.