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iothings:proiecte:2025sric:security-system-to_detect-movement-and-capture-image [2025/05/29 11:13] felicia.saghin [References] |
iothings:proiecte:2025sric:security-system-to_detect-movement-and-capture-image [2025/05/29 11:19] (current) felicia.saghin [Introduction] |
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| ====== Introduction ====== | ====== Introduction ====== | ||
| - | In today’s connected world, real-time security monitoring at home or in small offices has become both practical and affordable. This project delivers a lightweight IoT door-security solution by combining an ESP32-CAM module with a Hall-effect sensor. Whenever the door opens, the sensor immediately signals the ESP32-CAM to capture a high-resolution image. That image is then uploaded to Firebase Storage, and its publicly accessible URL is written to Firebase Realtime Database. Simultaneously, Twilio’s API is invoked to send an SMS to your smartphone. Finally, a web gallery hosted on Firebase displays the latest snapshot instantly, giving you secure and remote visibility of every entry event. | + | In today’s connected world, real-time security monitoring at home or in small offices is both practical and affordable. This project delivers a lightweight IoT door-security solution by combining an ESP32-CAM module with a Hall-effect sensor. Whenever the door opens, the sensor immediately signals the ESP32-CAM to capture a high-resolution JPEG, which is then Base64-encoded and stored directly in Firebase Realtime Database. Simultaneously, Twilio’s API sends an SMS alert with a link to your live web gallery. A responsive dashboard hosted on Firebase Hosting listens for new entries in the database and displays each snapshot instantly, giving you secure, remote visibility of every entry event. |
| ====== Context ====== | ====== Context ====== | ||
| __**Diagram**__ | __**Diagram**__ | ||
