ai_nose_architecuture2
An impulse takes raw data, uses signal processing to extract features, and then uses a learning
block to classify new data.
Features
Raw Data
Classification
5 (air, coffee, perfume, tea, vinegar )
5 (air, coffee, perfume, tea, vinegar )
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Anomaly Detection (K-means)
1 (Anomaly score)
1 (Anomaly score)
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Output features
6 (air, coffee, perfume, tea, vinegar , Anomaly score)
6 (air, coffee, perfume, tea, vinegar , Anomaly score)
Show all features
No data collected yet
You'll need some training data to design your first impulse.
