https://github.com/ernanej/segment7-esp32cam-rpi

Project to integrate an ESP32-CAM with a Raspberry Pi for reading and interpreting a 7-segment digital display with the possibility of monitoring and notifications.
https://github.com/ernanej/segment7-esp32cam-rpi

cloud esp32 esp32-cam iot pdi raspberrypi

Last synced: about 1 year ago
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Project to integrate an ESP32-CAM with a Raspberry Pi for reading and interpreting a 7-segment digital display with the possibility of monitoring and notifications.

• Host: GitHub
• URL: https://github.com/ernanej/segment7-esp32cam-rpi
• Owner: ErnaneJ
• License: mit
• Created: 2024-07-17T00:43:29.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-04T17:18:56.000Z (almost 2 years ago)
• Last Synced: 2025-04-14T20:12:46.890Z (about 1 year ago)
• Topics: cloud, esp32, esp32-cam, iot, pdi, raspberrypi
• Language: C++
• Homepage: https://github.com/ErnaneJ/segment7-esp32cam-rpi/blob/main/doc/report.pdf
• Size: 50.3 MB
• Stars: 2
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# IOT system for monitoring and notifying data from segment displays using image processing techniques 📸🔢🔍

This project integrates an ESP32-CAM with a Raspberry Pi to read and interpret digital displays from a multimeter, enhancing visibility and publishing data to a feed.

| Multimeter | Device |

|:-:|:-:|

|![Multimeter](assets/multimeter.png)|![Device](assets/device.png)|

## Overview 📝

The ESP32-CAM captures images of a multimeter's 7-segment display, serving them over HTTP using its IP address. The Raspberry Pi then processes these images:

1. **Image Capture**: ESP32-CAM captures images of the multimeter's display.

2. **Image Processing**: Raspberry Pi receives images, enhances them for readability, and performs OCR using Tesseract to extract digits.

3. **Data Interpretation**: Recognized digits are processed, interpreted, and published to a feed at regular intervals.

## Execution 🚀

| Input | Perspective | Threshold |Corrected Orientation |

|:-:|:-:|:-:|:-:|

|![input](assets/input.png)|![perspective](assets/perspective.png)|![threshold](assets/threshold.png)|![corrected_orientation](assets/corrected_orientation.png)|

| Flood Fill | Corrected And Clean Orientation Image | Morphology |

|:-:|:-:|:-:|

|![flood_fill](assets/flood_fill.png)|![corrected_and_clean_orientation_image](assets/corrected_and_clean_orientation_image.png)|![morphology](assets/morphology.png)|

```bash

cd raspberrypi/build

cmake ..

make && ./main

[100%] Built target main

Starting image processing...

Image saved to: ../assets/input.jpg

Image loaded successfully.

Applying thresholding...

Correcting image orientation...

Applying morphological operations...

Morphological processing complete.

Performing OCR...

Tesseract initialized.

Image set for OCR.

OCR output: 8035

OCR complete.

Exiting...

```

## Feed and Dashboard

| Dashboard |

|:-:|

|[![Adafruit IO Dashboard](assets/dashboard.png)](https://io.adafruit.com/Ernane/dashboards/segment7-esp32cam-rpi)|

| Feed |

|:-:|

|[![Adafruit IO Feed](assets/feed.png)](https://io.adafruit.com/Ernane/feeds/segment7-esp32cam-rpi)|

## Report 📚

For a detailed explanation of the project, including methodologies and results, please refer to the [project report](doc/report.pdf).

## License 📄

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.