Creating a Digital Inclinometer for the (IoT) Internet of Things:

Using the sensors from a single board microcomputer with a reading time of a few milliseconds.
Development of a real-time raw data sharing system via: TCP, UDP, WebSocket, REST interface (HTTP protocol), MQTT.
Compare and optimize data transfer times in real time in different technologies..
Development of a real-time data reception and processing interface for the customer. Compare processing time and introduced delays.
Development of a web application for real-time data visualization.
⭐⭐Non-Touch control by Hands Gesture Detection (Hand -> open, closed, 1 finger & Left hand, Right hand & Different combinations hands )
GPIO Programming to control matrix LED 8x8 (At the same time, the angle of inclination and a spirit level in 2 axes)

1. Overview

[ Front-end ]: 
              JavaScript, React, scss, GSAP, Redux, Redux-Thunk, etc..
[ Back-end ]: 
              NodeJS, Express.js, Tensorflow, WebSocket, MQTT
[ Embedded ]: 
              Raspberry Pi, IMU: LSM9DS1 (gyro, accel), TCP, UDP, GPIO

1.1 IoT project diagram:

1.2 An inclinometer is a device that measures the angles of inclination.

In this work, it was used:

Raspberry Pi 3 model B + Single board microcomputer
Sense Hat - Shield for Raspberry Pi, containing a 3-axis gyroscope, accelerometer, LED matrix, etc.

2. Support for the LSM9DS1 sensor:

from a single board computer with a reading time of no more than a few milliseconds.

2.1 Marked pixel fields:

2.2 Marked pixel fields:

2.3 Sensor data reading test results:

3. Development of a real-time raw data sharing system:

3.1 Data format for sending:

3.2 Way of testing:

3.3 Sending TCP & UDP

3.4 Sending Websocket & HTTP

3.5 Sending MQTT

4. Comparison and optimization of data transfer times in different technologies in real time.

4.1 Measurement of communication bandwidth Websocket & HTTP: