Configure your deployment
You can deploy your impulse to any device. This makes the model run without an internet connection, minimizes latency,
and runs with minimal power consumption.
Read more.
Deployment target
C++ library
A portable C++ library with no external dependencies, which can be compiled with any modern C++ compiler.
No deployment options available for this project.
Inference engine
Model optimizations and performance
Model optimizations can increase on-device performance but may reduce accuracy.
Performance estimate for Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz).
Quantized (int8)
| Latency |
|---|
| Ram |
| Flash |
| Accuracy |
| MFCC | MFE | Spectrogram | Syntiant | Raw data | Classifier 1 | Classifier 2 | Classifier Ours | Classifier Spectogram | Classifier Syntiant | Classifier Raw Data | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 243 ms. | 235 ms. | 105 ms. | - | 3 ms. | 4 ms. | 9 ms. | 3 ms. | 12 ms. | 8 ms. | 7 ms. | 629 ms. |
| 15.2K | 18.1K | 26.3K | - | 60.5K | 3.8K | 10.3K | 3.8K | 15.2K | 3.4K | 16.5K | 60.5K |
| - | - | - | - | - | 31.8K | 33.0K | 31.8K | 33.6K | 546.8K | 317.8K | - |
| - |
Unoptimized (float32)
| Latency |
|---|
| Ram |
| Flash |
| Accuracy |
| MFCC | MFE | Spectrogram | Syntiant | Raw data | Classifier 1 | Classifier 2 | Classifier Ours | Classifier Spectogram | Classifier Syntiant | Classifier Raw Data | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 243 ms. | 235 ms. | 105 ms. | - | 3 ms. | 117 ms. | 344 ms. | 112 ms. | 481 ms. | 84 ms. | 75 ms. | 1,799 ms. |
| 15.2K | 18.1K | 26.3K | - | 60.5K | 6.8K | 31.6K | 6.8K | 50.2K | 8.7K | 61.8K | 61.8K |
| - | - | - | - | - | 27.9K | 32.7K | 27.9K | 35.0K | 2.1M | 1.2M | - |
| - |
To compare model accuracy, clone this project and run model testing.
Clone this project to deploy this impulse.
Latest build
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Run this model
Click 'Build' to begin
Built Arduino library
Add this library through the Arduino IDE via:
Sketch > Include Library > Add .ZIP Library...
Examples can then be found under:
File > Examples > DBlindForDiscriminativeAI_inferencing
Built Zephyr module
Add this module to your application updating the CMakeLists.txt file adding:
list(APPEND ZEPHYR_EXTRA_MODULES ${CMAKE_CURRENT_SOURCE_DIR}/model)
Adapting the path to the folder where you have the model in your application.
To add the Edge Impulse SDK update the manifest file in use adding the entry for edge-impulse-sdk-zephyr as specified in the west.yml in the downloaded zip.
Built Simplicity Studio Component
Built Open CMSIS package
Import the model and the Edge Impulse SDK packages to your project.
Play video to see how to import the package.
Built ST IoT Discovery Kit firmware
Drag the .bin file to the DIS_L4IOT drive to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built SiLabs Thunderboard Sense 2 firmware
Drag the .bin file to the TB004 drive to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Renesas CK-RA6M5 firmware
Flash the board according to the instructions in the archive.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Renesas EK-RA8D1 firmware
Flash the board according to the instructions in the archive.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built SiLabs xG24 firmware
Follow the instruction to flash the board.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Infineon PSoC63 Pioneer Kit firmware
Install
CyProgrammer and flash the HEX file from downloaded archive.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Infineon PSoC62 Pioneer Kit firmware
Install
CyProgrammer and flash the HEX file from downloaded archive.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built nRF52840 DK firmware
Drag the .bin file to the JLINK drive to flash the binary.
No JLINK drive? See
instructions on updating the bootloader.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built nRF5340 DK firmware
Drag the .bin file to the JLINK drive to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built nRF9160 DK firmware
Drag the firmware.bin file to the JLINK drive to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Thingy:53 firmware
Put the device in the bootloader mode and open nRF Connect for Desktop Programmer application and drag the zip file.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Thingy:91 firmware
Follow the steps in INSTRUCTIONS.txt to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built nRF7002 DK firmware
Drag the .bin file to the JLINK drive to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built nRF9161 DK firmware
Drag the firmware.bin file to the JLINK drive to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built nRF9151 DK firmware
Drag the firmware.bin file to the JLINK drive to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Arduino Nano 33 BLE Sense firmware
Click on the script for your operating system to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Arduino Portenta H7 firmware
Click on the script for your operating system to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Arduino Nicla Vision firmware
Click on the script for your operating system to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built BrickML firmware
Flash the board according to the instructions in the archive.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built BrickML SoM firmware
Flash the board according to the instructions in the archive.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built ESP-EYE (ESP32) firmware
Click on the script for your operating system to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Raspberry Pi RP2040 firmware
Connect the Raspberry Pi Pico to your computer using a micro-USB cable, making sure that you hold down the BOOTSEL button as you do so, to force it into USB Mass Storage Mode. Drag the firmware file (*.uf2) from archive to newly appeared USB Mass Storage device.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Raspberry Pi Pico 2 (RP2350) firmware
Connect the Raspberry Pi Pico 2 to your computer using a micro-USB cable, making sure that you hold down the BOOTSEL button as you do so, to force it into USB Mass Storage Mode. Drag the firmware file (*.uf2) from archive to newly appeared USB Mass Storage device.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Raspberry Pi Pico 2 WiFi (RP2350) firmware
Connect the Raspberry Pi Pico 2W to your computer using a micro-USB cable, making sure that you hold down the BOOTSEL button as you do so, to force it into USB Mass Storage Mode. Drag the firmware file (*.uf2) from archive to newly appeared USB Mass Storage device.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Himax WE-I firmware
Click on the script for your operating system to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Grove AI Vision module firmware
Switch your module into bootloader mode and drop the firmware.uf2 file onto the Grove AI disk.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Seeed SenseCAP A1100 firmware
Switch your module into bootloader mode and drop the firmware.uf2 file onto the VISIONAI disk.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Spresense firmware
Click on the script for your operating system to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Spresense + Commonsense firmware
Click on the script for your operating system to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built TI LAUNCHXL-CC1352P firmware
Click on the script for your operating system to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built Synaptics KA10000 firmware
Click on the script for your operating system to flash the binary.
Play video to see how to flash the binary.
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Built macOS (x86) model
To use this model you'll need macOS to trust this model:
- Open a terminal window and navigate to the folder where you downloaded this model.
- Mark the model as executable: chmod +x path-to-model.eim
- Remove the quarantine flag: xattr -d com.apple.quarantine ./path-to-model.eim
- You can now use this model with the Node.js, Python, Go or C++ SDKs 🎉
Built macOS (arm64) model
To use this model you'll need macOS to trust this model:
- Open a terminal window and navigate to the folder where you downloaded this model.
- Mark the model as executable: chmod +x path-to-model.eim
- Remove the quarantine flag: xattr -d com.apple.quarantine ./path-to-model.eim
- You can now use this model with the Node.js, Python, Go or C++ SDKs 🎉
Built Particle library
Add this library through the Particle Workbench via:
1. Extract the .zip library.
2. Particle: Import Project and select project.properties.
Examples can then be found in:
DBlindForDiscriminativeAI_inferencing/examples/
Built Particle Photon 2 firmware
Use the Particle CLI tools to upload the image: `particle flash --local firmware.bin`
Then, from your terminal or command prompt run: edge-impulse-run-impulse
Custom deployment blocks
Build custom device firmware or integrate with your CI/CD pipelines straight from the platform with our Enterprise plan.
Previous deployments
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