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--- amc:ss2024:smart_water_metering:start [2024/07/30 21:38] – [Accuracy and Reliability] demid.dabizha
+++ amc:ss2024:smart_water_metering:start [2024/07/30 21:50] (current) – [6. Conclusion] demid.dabizha
@@ Line 170: / Line 170: @@
 Every time the ESP32-CAM was powered up, the settings were reset, causing the Regions of Interest (ROIs) to shift and making it difficult to accurately capture the numbers.
 To address this, the Alignment References were turned off.
-The custom casing ensured that the ESP32-CAM and water meter maintained a consistent position, eliminating the need for re-alignment with each restart.
+The custom casing ensured that the ESP32-CAM  maintained a consistent position, eliminating the need for re-alignment with each restart.
 ==== 6. Conclusion ====
-I managed to make a working module for a water meter that is ready for use in household. The ESP32-CAM for smart water metering has shown great potential in automating water usage monitoring. The system accurately reads water meter numbers, though there were some challenges with lighting and reflections. Integrating it with Home Assistant made the system easier to use and provided real-time data for better water management.
+I managed to make a working module for a water meter that is ready for use in household. The ESP32-CAM for smart water metering has shown great potential in automating water usage monitoring. The system accurately reads water meter numbers, even though the protective plastic cover causes "inconvenient" reflections from the LED light.
-A major advantage of this project is its low cost. The ESP32-CAM and other components are affordable, making it accessible to many people. Also, the setup process, while requiring some basic technical skills, is not too complicated. Clear instructions and open-source firmware make it easier to implement.
+A major advantage of this project is its low cost. The ESP32-CAM and other components are affordable, making it accessible to many people. Also, the setup process, while requiring some technical skills, is not that complicated. Open-source firmware make it easier to implement.
 ==== Links ====
 https://jomjol.github.io/AI-on-the-edge-device-docs/