Edge Impulse Experts / Fall_Detection_using_Transformer Public

EON Tuner

The EON Tuner helps you find the most optimal architecture for your embedded machine-learning application. Clone this project to use the EON Tuner.

Target

No name set

Continuous motion

Raspberry Pi RP2040 (Cortex-M0+ 133MHz)

100 ms

264 kB

2048 kB

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DSP type

Network type

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General

F1-score

Precision

Recall

97%
spectr-dense-6ec
PERFORMANCE
LATENCY
10 ms of 100 ms
RAM
33 kB of 264 kB
ROM
24 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.5
dense 40 - -
dropout - - 0.5

3/4/2022, 3:34:55 AM

97%
spectr-dense-bd6
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
33 kB of 264 kB
ROM
25 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.5
dense 40 - -
dropout - - 0.5
dense 20 - -
dropout - - 0.5

3/4/2022, 2:55:49 AM

97%
spectr-dense-211
PERFORMANCE
LATENCY
6 ms of 100 ms
RAM
33 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -

3/4/2022, 2:29:47 AM

97%
spectr-dense-293
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
33 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -

3/4/2022, 1:45:01 AM

97%
spectr-dense-e02
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
33 kB of 264 kB
ROM
25 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.25
dense 40 - -
dropout - - 0.25
dense 20 - -
dropout - - 0.25

3/4/2022, 1:03:18 AM

97%
spectr-dense-178
PERFORMANCE
LATENCY
10 ms of 100 ms
RAM
21 kB of 264 kB
ROM
24 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

128

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.5
dense 40 - -
dropout - - 0.5

3/4/2022, 2:47:52 AM

97%
spectr-dense-2b5
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
21 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

128

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -

3/4/2022, 3:04:13 AM

97%
spectr-dense-858
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
21 kB of 264 kB
ROM
19 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

128

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -

3/4/2022, 1:52:27 AM

97%
spectr-dense-7fb
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
21 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

128

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dropout - - 0.5
dense 20 - -
dropout - - 0.5
dense 10 - -
dropout - - 0.5

3/4/2022, 1:12:05 AM

95%
spectr-dense-2ee
PERFORMANCE
LATENCY
18 ms of 100 ms
RAM
27 kB of 264 kB
ROM
24 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 2000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.5
dense 40 - -
dropout - - 0.5

3/4/2022, 3:26:34 AM

95%
spectr-dense-230
PERFORMANCE
LATENCY
12 ms of 100 ms
RAM
27 kB of 264 kB
ROM
25 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 2000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.5
dense 40 - -
dropout - - 0.5
dense 20 - -
dropout - - 0.5

3/4/2022, 3:50:50 AM

95%
spectr-dense-dd3
PERFORMANCE
LATENCY
18 ms of 100 ms
RAM
27 kB of 264 kB
ROM
25 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 2000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dropout - - 0.25
dense 40 - -
dropout - - 0.25
dense 20 - -
dropout - - 0.25

3/4/2022, 2:40:25 AM

95%
spectr-dense-279
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
26 kB of 264 kB
ROM
19 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 2000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dropout - - 0.25
dense 10 - -
dropout - - 0.25

3/4/2022, 2:07:01 AM

94%
spectr-dense-4ee
PERFORMANCE
LATENCY
20 ms of 100 ms
RAM
27 kB of 264 kB
ROM
25 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 2000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dense 40 - -
dense 20 - -

3/4/2022, 3:47:47 AM

94%
spectr-dense-fb5
PERFORMANCE
LATENCY
16 ms of 100 ms
RAM
27 kB of 264 kB
ROM
24 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 2000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
NEURAL NETWORK (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 80 - -
dense 40 - -

3/4/2022, 1:23:20 AM