bautimercado / iot2025-trabajofinal-ventilador Public
Target: Espressif ESP-EYE (ESP32 240MHz) Clone this project

Test data

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Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

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Sample name Expected outcome Length Accuracy Result
fan-normal-77 normal 4s 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
fan-anomally-99 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-98 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-97 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-96 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-95 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-94 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-92 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-91 anomally 4s 0% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-76 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-75 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-74 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-73 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-72 normal 4s 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
fan-normal-71 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-anomally-50 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-49 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-48 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-47 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-46 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-off-50 off 4s 100% 1 off
Show classification Show in data acquisition Show in feature explorer
fan-off-49 off 4s 100% 1 off
Show classification Show in data acquisition Show in feature explorer
fan-off-48 off 4s 100% 1 off
Show classification Show in data acquisition Show in feature explorer
fan-off-47 off 4s 100% 1 off
Show classification Show in data acquisition Show in feature explorer
fan-off-46 off 4s 100% 1 off
Show classification Show in data acquisition Show in feature explorer
fan-normal-50 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-49 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-48 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-47 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-46 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-anomally-25 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-24 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-23 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-22 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-anomally-21 anomally 4s 100% 1 anomally
Show classification Show in data acquisition Show in feature explorer
fan-normal-25 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-24 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-23 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-22 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-normal-21 normal 4s 100% 1 normal
Show classification Show in data acquisition Show in feature explorer
fan-off-25 off 4s 100% 1 off
Show classification Show in data acquisition Show in feature explorer
fan-off-24 off 4s 100% 1 off
Show classification Show in data acquisition Show in feature explorer
fan-off-23 off 4s 100% 1 off
Show classification Show in data acquisition Show in feature explorer
fan-off-22 off 4s 100% 1 off
Show classification Show in data acquisition Show in feature explorer
fan-off-21 off 4s 100% 1 off
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
93.33%

Metrics for Classifier

Metric Value
Area under ROC Curve 0.99
Weighted average Precision 0.98
Weighted average Recall 0.98
Weighted average F1 score 0.98

Confusion matrix

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Feature explorer

The feature explorer is only supported when you have a single DSP block
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