Kutluhan Aktar / IoT AI-assisted Deep Algae Bloom Detector
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
This object detection (FOMO) model detects potential deep algal bloom:
After building my object detection (FOMO) model, I deployed my model as a Linux ARMv7 application and uploaded the generated application to Raspberry Pi so as to run inferences.
Creating your first impulse (100% complete)
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.
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
Data collected80 items