You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: content/hardware/06.nicla/boards/nicla-voice/tutorials/glass-break-detector/content.md
+10-4
Original file line number
Diff line number
Diff line change
@@ -338,21 +338,27 @@ You can also use the Arduino IDE's Serial Monitor to observe similar results fou
338
338
339
339
You can expand the Glass Breaking Detector system described in this application note to include real-time alerts and interesting automation by integrating the Nicla Voice, Portenta H7 and the Arduino Cloud.
340
340
341
-
This enhanced functionality will allow you to design flexible safety and monitoring capabilities specific to environments with glass structures.
This enhancement allows for scalable solutions designed for environments such as buildings or other closed spaces with simple yet helpful monitoring and safety features, for example.
342
344
343
345
### Expanded System Overview
344
346
345
-
The system begins with the Nicla Voice, which runs a trained machine learning model to detect glass-breaking sounds. For this, we will use the model as discussed in the [Machine Learning Model Development](#machine-learning-model-development) section. Upon recognizing such an event, the Nicla Voice sends a notification via Bluetooth® Low Energy (BLE) to the Portenta H7.
347
+
The system begins with the Nicla Voice, which runs a trained machine learning model to detect glass-breaking sounds. Here you will use the model discussed in the [Machine Learning Model Development](#machine-learning-model-development) section, providing a nice foundation for real-world implementations in controlled environments.
348
+
349
+
Upon recognizing such an event, the Nicla Voice sends a notification via Bluetooth® Low Energy (BLE) to the Portenta H7.
346
350
347
351

348
352
349
-
The Portenta H7 is the host device, bridging the detection hardware with the Arduino Cloud. It receives the BLE notification, processes the alert, and updates the cloud dashboard in real-time. Additionally, the Portenta H7 triggers specific actions based on the alert level:
353
+
The Portenta H7 is the host device, bridging the detection hardware with the Arduino Cloud. It receives the BLE notification, processes the alert, and updates the cloud dashboard in real-time.
354
+
355
+
In addition, it provides an action-based response system that can be customized to comply with the required standards if needed:
350
356
351
357
-**Security Alert Call:** It is activated upon recognizing the first glass-breaking event. This is to provide an immediate warning that a critical event may have occurred, enabling early intervention.
352
358
353
359
-**Lockdown Motor:** It is triggered if additional glass-breaking events are detected, escalating the response by activating mechanisms such as reinforced shutters to secure the environment.
354
360
355
-
This escalation mechanism shows an adaptable response system tailored to various scenarios.
361
+
This example shows a possible practical example of how the system can be applied to monitor and safeguard buildings or enclosed areas with an escalation mechanism. The approach combines simplicity and adaptability, ensuring the system can address specific needs while providing reliable and responsive features.
0 commit comments