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https://github.com/abhinav-ark/mpu6050_realtime_dashboard
Real Time Dashboard for MPU6050 Accelerometer/Gyroscope
https://github.com/abhinav-ark/mpu6050_realtime_dashboard
adafruit c esp32-arduino influxdb iot nextjs nodejs websockets
Last synced: 10 days ago
JSON representation
Real Time Dashboard for MPU6050 Accelerometer/Gyroscope
- Host: GitHub
- URL: https://github.com/abhinav-ark/mpu6050_realtime_dashboard
- Owner: Abhinav-ark
- License: mit
- Created: 2024-03-30T05:17:18.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-05-02T17:45:46.000Z (8 months ago)
- Last Synced: 2024-12-08T12:12:11.875Z (18 days ago)
- Topics: adafruit, c, esp32-arduino, influxdb, iot, nextjs, nodejs, websockets
- Language: JavaScript
- Homepage:
- Size: 4.14 MB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
Awesome Lists containing this project
README
Real Time Dashboard for MPU6050 Accelerometer/Gyroscope
This is a web based dashboard for graphical representation of real-time acceleration and rotation data from MPU6050 using websockets. It also records and stores time series sensor data using InfluxDB. Done as a part of `19CSE446 Internet of Things Course`, Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Coimbatore.
## Technologies Used
- [x] `Arduino ESP32`
- [x] `Adafruit`
- [x] `Embedded C`
- [x] `WebSockets`
- [x] `InfluxDB`
- [x] `NodeJS`
- [x] `React`
- [x] `NextJS`
- [x] `Express`
- [x] `MUI React`
UI Screens
## Real Time Data (Last 20 Readings)
## All Time Data
## InfluxDB
## Video Demonstration
> [!NOTE]
> This video doesn't contain any audio 🔇
https://github.com/Abhinav-ark/mpu6050_realtime_dashboard/assets/76396917/3185790a-775a-461d-84f0-339fe4695947
How to setup ?
- Either clone the repository (or) download the Source Code from the [latest release](https://github.com/Abhinav-ark/mpu6050_realtime_dashboard/releases/tag/v1.0.0).
## Arduino
- Connect the MPU6050 Sensor to the `ESP32 Microcontroller` and connect the Microcontroller to your computer through a USB Cable.
Circuit Diagram (Image Courtesy: ElectronicWings.com)
DOIT ESP32 DevKit
- Install all the necessary libraries in Arduino IDE
- [ArduinoWebockets](https://github.com/gilmaimon/ArduinoWebsockets)
- [Adafruit_MPU6050](https://github.com/adafruit/Adafruit_MPU6050)
- [WiFi](https://www.arduino.cc/reference/en/libraries/wifi/)
- [Wire](https://www.arduino.cc/reference/en/language/functions/communication/wire/)
- Enter the Wifi Network SSID, PASSWORD, IP Address of the Server Computer in which your Backend is Running in The `mpu6050.ino` Arduino File and Upload the code to the board.
> [!IMPORTANT]
> It is necessary that both the `ESP32 Microcontroller` and the backend server are connected to the same WiFi Network for the Code to work.
## Influx DB
- Install [`InfluxDB`](https://www.influxdata.com/downloads/) on your Server Computer (OR) you can use the cloud version also instead.
- Create a user, organisation of your choice and a Bucket named `IOT`.
- Create an API Access Token with Read and Write Permissions to IOT bucket.
## NodeJS
- In the Server Computer, make sure you have [`nodeJS`](https://nodejs.org/en/download) installed.
- Goto the backend folder and type the following commands to install the dependencies.
```bash
> npm install
```
- Goto the .env file to enter your Environmental Variables, i.e, `INFLUXDB API TOKEN`, `INFLUXDB URL` and `INFLUXDB ORGANISATION`.
- To run the development server type the following command
```bash
> npm run dev
```
- You can test the websockets server by using the `./TestWebsockets/test.html` document.
## Explanatory Demonstration
> [!NOTE]
> Enable Audio 🔊 for Audio Explanation.
https://github.com/Abhinav-ark/mpu6050_realtime_dashboard/assets/76396917/1300083d-66cc-492d-bfb2-79a4cba5d1e1
# Contributing
Refer to The [Code of Conduct](https://github.com/Abhinav-ark/mpu6050_realtime_dashboard/blob/main/CODE_OF_CONDUCT.md) before making a pull request to the repository, posting on the discussions section or involing in any public activity related to this repository.
# Licensing
All code in this repository is Licensed Under `MIT License`, and is freely available for anyone to use or make changes.
# Security Policy
Refer [SECURITY.md](https://github.com/Abhinav-ark/mpu6050_realtime_dashboard/blob/main/SECURITY.md) for Security Policy.