Manivannan / Pipe Leakage detection Public

Manivannan / Pipe Leakage detection

This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.

Audio

Creating your first impulse (100% complete)

Acquire data

Every Machine Learning project starts with data. You can capture data from a development board or your phone, or import data you already collected.

Design an impulse

Teach the model to interpret previously unseen data, based on historical data. Use this to categorize new data, or to find anomalies in sensor readings.

Deploy

Package the complete impulse up, from signal processing code to trained model, and deploy it on your device. This ensures that the impulse runs with low latency and without requiring a network connection.

Download block output

Title Type Size
Spectrogram training data NPY file 552 windows
Spectrogram training labels NPY file 552 windows
Spectrogram testing data NPY file 99 windows
Spectrogram testing labels NPY file 99 windows
NN Classifier model TensorFlow Lite (float32) 75 KB
NN Classifier model TensorFlow Lite (int8 quantized) 23 KB
NN Classifier model TensorFlow SavedModel 76 KB
NN Classifier model Keras h5 model 70 KB

Clone project

You are viewing a public Edge Impulse project. Clone this project to add data or make changes.

Summary

Data collected
6m 6s

Project info

Project ID 115141
Project version 1
License No license attached