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--- amc:ss2023:group-t:start [2023/07/25 19:47] – somaya.ahmadian
+++ amc:ss2023:group-t:start [2023/07/25 20:36] (current) – somaya.ahmadian
@@ Line 32: / Line 32: @@
 **ESP32CAM**
 The ESP32-CAM is the microcontroller that we used in this project that comes with a detachable camera aid. It costs approximately $10. Besides the OV2640 camera, and several GPIOs to connect peripherals, it also features a microSD card slot that can be useful to store images taken with the camera or to store files to serve to clients. For the purpose of our project we have used an ESP32Cam by AIThinker.
 Source: https://randomnerdtutorials.com/esp32-cam
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 UART is still a widely used serial data protocol but has been replaced in some applications by technologies such as SPI, I2C, USB, and Ethernet in recent years.
-Source: https://www.rohde-schwarz.com/us/products/test-and-measurement/essentials-test-equipment/digital-oscilloscopes/understanding-uart_254524.html#gallery-8
 ==== 2.3. 16 GB MicroSD card ====
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 {{:amc:ss2023:group-t:lipo_akku_ekstein-shop.de.png?200|}}
+Fifure 6: LiPo Battery https://www.akkuman.de/shop/Akku-kompatibel-Fatboy-Edison-the-petit-PN704050-37V-1600mAh?curr=EUR&gad=1&gclid=Cj0KCQjw5f2lBhCkARIsAHeTvljkZAMPWR_616Zd6VWrigpjHYuo1BEREuBQiuNyIN_1z3dzxAbeGUkaAlhoEALw_wcB
 ==== 2.9. LiPo charger/adapter ====
@@ Line 101: / Line 103: @@
 {{:amc:ss2023:group-t:lipo_charger_ekstein-shop.de.png?200|}}
+Figure 7: LiPo charger/adapter https://eckstein-shop.de/AdafruitUniversalUSB2FDC2FSolarLithiumIon2FPolymercharger?gclid=Cj0KCQjw5f2lBhCkARIsAHeTvlhVRSFS-UhLw4jDF7190yPZA1hKYx_U5e4FTyNKABkcUAkUa7Tg8cYaAkOcEALw_wcB
 ==== 2.10. Step-up/Step-down Voltage Regulator ====
@@ Line 106: / Line 110: @@
 {{:amc:ss2023:group-t:pololu_stepup_down_voltage_regulator.png?200|}}
+Figure 8: Voltage Regulator https://www.pololu.com/product/4085
 ===== 3. Method =====
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 The initial step involved connecting the ESP32CAM and UART module, using jumper cables. This ensured the proper flow of data between the devices.
-{{:amc:ss2023:group-t:wiring.jpeg?400|}}                    {{:amc:ss2023:group-t:pin_connection.jpeg?200|}}
+{{:amc:ss2023:group-t:wiring.jpeg?400|}}
+Figure 9: Connection setup of ESP32CAM with UartSBee
+Table 1: Pin connection of ESP32CAM and UartSBee
+{{:amc:ss2023:group-t:pin_connection.jpeg?200|}}
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 {{:amc:ss2023:group-t:camerafocus.jpeg?200|}}
+Figure 10: Focus adjustment of the camera https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/
 ==== 3.6. Casing ====
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 {{:amc:ss2023:group-t:img_0229.jpg?200|}}
+Figure 11: ESP32CAM and watermeter casing
 ==== 3.7 Power Supply ====
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 {{:amc:ss2023:group-t:img_0729.jpg?400|}}
+Figure 12: Power supply setup
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 {{:amc:ss2023:group-t:screenshot_2023-07-25_at_13.55.551.png?400|}}
+Figure 13: AI-on-the-edge setup webpage
 However, we encountered an issue with the ESP32's built-in LED, as its flashing caused unwanted reflections on the glass of the water meter, making the AI-based readout challenging. To address this, we decided to cover the LED with a piece of tape, which provided better control over reflections and improved the accuracy of the readings.
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 {{:amc:ss2023:group-t:screenshot_2023-07-25_at_14.00.27.png?400|}}
+Figure 14: Selecting some reference points
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 {{:amc:ss2023:group-t:screenshot_2023-07-25_at_14.04.43.png?400|}}
+Figure 15: Selecting Region Of Interest (ROI)
 To adjust the positions of the ROIs within the reading, we used the options "Move Next" or "Move Previous." Finally, we saved all our changes with "Save all to Config.ini."Since our water meter lacked analog information, we unchecked the next step.
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 {{:amc:ss2023:group-t:screenshot_2023-07-25_at_15.55.47.png?400|}}
+Figure 16: Oracle VirtualBox setup to run Home Assistant in a Linux based environment