Manivannan / IntruderDetectionSystem_V2 Public
Target: Arduino Portenta H7 (Cortex-M7 480MHz) Clone this project

Test data

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

Apply filters

Sample name Expected outcome F1 score Result
sample.630kq69q Intruder 100%
Show classification Show in data acquisition Show in feature explorer
sample.630kvki1 Intruder 100%
Show classification Show in data acquisition Show in feature explorer
sample.630krqf5 Intruder 100%
Show classification Show in data acquisition Show in feature explorer
sample.630ktnin Intruder 100%
Show classification Show in data acquisition Show in feature explorer
sample.630kva94 Intruder 100%
Show classification Show in data acquisition Show in feature explorer
sample.630kv3vo Intruder 100%
Show classification Show in data acquisition Show in feature explorer
sample.630kuv6f Intruder 100%
Show classification Show in data acquisition Show in feature explorer
sample.630kqdjh Intruder 100%
Show classification Show in data acquisition Show in feature explorer
sample.630kq20r Intruder 0%
Show classification Show in data acquisition Show in feature explorer
Filter yielded no results, click to adjust the filter

Model testing output

Results

Model version:
Accuracy
88.89%

Metrics for Object detection

Metric Value
Precision (non-background) 1.00
Recall (non-background) 0.89
F1 Score (non-background) 0.94

Confusion matrix

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Feature explorer

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