AI Powered Gunshot Detection System for Wildlife Protection

AI Powered Gunshot Detection System for Wildlife Protection using Infineon PSoC6 AI Kit and DeepCraft Studio Edge Impulse ****

1. Introduction

This project aims to develop an AI Powered Gunshot Detecion System for Wildlife Protection using the Infineon PSoC6 AI Kit and EdgeImpulse OR DeepCraft Studio. The system will:

• Collect real-time sound data from the built-in microphone sensor .
• Stream this data to DeepCraft Studio for AI model training.
• Train an AI model to detect Gunshoot sound.
• Deploy the trained model to the PSoC6 AI Kit using ModusToolbox.
• Provide alerts to users.

2. Hardware & Software Requirements

Hardware:

• Infineon PSoC6 AI Kit (with dual XENSIV™ digital MEMS Microphone sensor)
• USB/UART connection for data streaming

Software:

• DeepCraft Studio (AI model training)
• ModusToolbox (PSoC6 firmware development)

Im surprised To find a ready--made Example In DeepCraft Studio for Gun Detection

So This project will be divided to two sections

Section 1 DeepCraft Studio

First I will start to test and Deploy the ready made Model.

Section 2 EDGE IMPULSE

Then I will use EDGE Impulse to make my Model and Train it using my streamed XENSIV™ digital MEMS microphones Data sets.

Both Models will be deployed and Tested On PSOC 6 AI KIT.

3. Section 1

Steps to Implement the Project using the ready-made Model.

in this section I will Generate The code for the ready-made Model using DeepCraft Studio

wait for the Job to be finished

then Download the best Trained Model

a- Generate Model.c &.h files :

select Infineon PSOC in the architecture, PSOC6 in Target Device, The output Folder and press Generate Code

after Generating model.c & model.h files, you can find themodel files in the infineon folder copy Both Files model.c & model.h then we will go through deploy using Modustoolbox

b- Create Modustoolbox To Deploy the model :

1- open modustoolbox software and select your workspace

2- Create new project using New Application Wizard

3-select CY8CKIT-062S2-AI PSOC as your BSP Then Next

4- in Machine learning Section just choose DEEPCRAFT Deploy Model Motion, and Rename the project as you like and press create

5- After creating your Modus Project open the models folder and just replace model.c and model.h with the generated files from DeepCraft Studio

you can add your custom code to main, c file to do any thing when the model run successfuly, in This Project The RED LED will Turn on When a Gunshoot Detected And a warning message will be send to console.

if(best_label >0 )
{
cyhal_gpio_write(CYBSP_USER_LED2,CYBSP_LED_STATE_OFF); //Turn RED LED ON WHEN Gunshoot Detected
}
else {cyhal_gpio_write(CYBSP_USER_LED2,CYBSP_LED_STATE_ON);}

if(best_label >0 )
{
cyhal_gpio_write(CYBSP_USER_LED2,CYBSP_LED_STATE_OFF); //Turn RED LED ON WHEN ANOMALLY Detected
}
else {cyhal_gpio_write(CYBSP_USER_LED2,CYBSP_LED_STATE_ON);}

for now I would like to run only the ready model to test its working just Build the Project and wait to finish with no errors

6- program your kit and open a serial console from Modustoolbox or putty or Tera Term as you like ( Baud :115200, 8, none, 1 )

1.Bench Testing

• Simulate gunshoot sound using pre-recorded different gunshot sounds
• Verify if the AI model detects The gunshoots.

Test & Validate the System

2.Real-World Testing

• Attach the PSoC6 in wild life forest.
• Monitor
• predictions vs. actual failures.

As shown here in the next video the model is working even if the Ai kit is in a different noise enviroments

4. Section 2

Steps to Implement the Project using EDGE IMPULSE Model.

1- clone the original impulse.

https://studio.edgeimpulse.com/public/133765/latest

2-collect data and create label.

3- Generate Feature from the collected data.

4- Test deploy the impulse in the browser

3.Optimizations

• Adjust sampling rate..
• Fine-tune AI model thresholds.

4. Expected Output

• The PSoC6 will continuously monitor sounds around it.
• If Gunshoots sound are detected, it will trigger an alert (LED/UART message).
• Users receive early warnings for Gunshoot in the forest.

5. Conclusion

5. Conclusion

This project demonstrates how to:

• Stream real-time microphone data to DeepCraft Studio.
• Train an AI model for recognize Gunshoots.
• Deploy the model on PSoC6 using ModusToolbox.
• Detect Gunshoots early and alert users.

My Project github

https://github.com/eslamfayad/Gunshot_Detecion_System

My EdgeImpulse Project

https://studio.edgeimpulse.com/studio/789859

https://orcid.org/0000-0001-6189-0463