Building a Secure Edge Guard with ESP32-S3 and AI
0:00 / 5:21
Overview
0:00 - 0:39
Project introduction covering technologies like ESP32-S3, Edge Impulse, and Google Cloud.
Hardware Setup
0:40 - 1:28
Configuring the ESP32-S3 Dev Module and wiring sensors/actuators for edge functionality.
Edge AI Training
1:29 - 2:17
Training a FOMO object detection model with Edge Impulse and deploying it as a C++ library.
Cloud Connectivity
2:18 - 2:54
Connecting the device to Google Cloud Storage and Firestore using MQTT.
AI Threat Analysis
2:55 - 3:31
Using Cloud Vision API and Firebase Functions for high-priority threat detection.
Mobile Monitoring
3:32 - 4:08
Monitoring alerts and controlling the device via a Flutter mobile application.
System Logic
4:09 - 4:48
Explaining the system's dual-threshold logic for power efficiency and security.
Conclusion
4:49 - 5:21
Final performance metrics including latency, power draw, and project cost.