HomeEngineering Projects For YouTilt Sense: Real-Time Tilt Detection and Display System

Tilt Sense: Real-Time Tilt Detection and Display System

Tilt detection is a fundamental feature needed in various applications, including measuring the orientation of various parts and devices in an assembly. Due to the advent of sensors like the MPU6050 that is an integrated unit made up of a gyroscope and an accelerometer, it has become easy to ensure precise motion tracking and/or stabilisation. This article is associated with ‘Parishuddhi Yantra’, a funded project sponsored for ₹32,000 by the Student Startup and Innovation Policy (SSIP) 1.0, SSIP Cell, Government of Gujarat, India.

Tilt Detection's prototype with all possible displays and labelled PCB
Author’s prototype with all possible displays and labelled PCB

The proposed setup aims to create a real-time tilt detection system that can identify vital orientation in a predefined range of degrees and display the same. The featured image shows the author’s prototype of various experiments and their results. It demonstrates the mapping of various degrees (in X, Y and Z axes) to the predefined ranges of inclination across all directions.

Components
MPU6050 gyroscope and accelerometer
Measures acceleration along three axes and calculates tilt angles based on the sensor’s orientation.

Arduino microcontroller
Interfaces with the MPU6050 sensor, processes the data, and drives the seven-segment displays.

Seven-segment displays (2 units)
Displays the detected tilt direction in a human-readable format
(CC, LL, RR, UU, dd, 0L, 0R, 0U, 0d).

Resistors (1kΩ)
Used to limit current and protect the seven-segment display segments.

Connecting wires
Establish electrical connections between the components.

Power supply
Provides the necessary 5V power to the system.
Tilt Detection Block Diagram
Block diagram

The proposed setup is used to check whether the angle of inclination of the Tiltsense device is within the specified range (user-defined). The MPU6050 sensor, a 6-axis motion tracking device, measures acceleration along the X, Y, and Z axes, as well as rotational velocity along three axes (roll, pitch, and yaw). This makes it ideal for a variety of motion-sensing applications, from simple tilt detection to more complex movement tracking. In this project, the MPU6050 sensor is used to capture tilt angles based on the gravitational pull along the X, Y and Z axes, which are then processed by an Arduino microcontroller. SP5501 is a common anode 7-segment display (they require voltage 0V to turn on the corresponding segment).

Tilt Detection Circuit Design

  1. MPU6050 to Arduino
    VCC → 3.3V
    GND → GND
    SDA → A4 (for Arduino Uno)
    SCL → A5 (for Arduino Uno)
  2. Seven-segment display pins
    First display: Pins connected to D0 through D6 of Arduino.
    Second display: Pins connected to D7 through D13 of Arduino.
  3. Resistors
    Resistors are connected in series with each segment to limit current.

Overview

The core objective of this project is to create a real-time tilt detection system using the MPU6050 sensor and display the tilt direction on two seven-segment displays. The tilt detection system works by determining the tilt angle in relation to the horizontal plane (the centre position), allowing the system to classify the tilt into one of five directions: left, right, up, down, or centre. The results are then shown on the dual seven-segment displays, offering a clear and intuitive indication of the system’s orientation.

The real-time nature of the system is one of its most significant advantages, as it allows for immediate feedback and interaction. The project aims to use this setup in applications that require real-time monitoring and control based on the tilt angle of an object. For example, in gaming, users can interact with the system by tilting a controller in specific directions to trigger actions. Similarly, in robotics, tilt sensing can assist with stabilising robots or controlling their movement by adjusting the orientation.

The use of two seven-segment displays provides a simple yet effective method for visually representing the tilt direction. This type of display is widely used due to its simplicity and ease of use. By mapping each tilt direction to a specific character or symbol on the display, users can easily interpret the system’s orientation. Furthermore, the integration with the Arduino platform ensures the system is easily customisable and adaptable to various project requirements.

This project highlights the versatility and effectiveness of using an MPU6050 sensor in combination with a microcontroller to create a functional, low-cost tilt detection system. The system’s real-time capabilities, ease of implementation, and intuitive output display make it an ideal solution for applications in gaming, robotics, navigation, and other fields requiring orientation tracking or motion-based control.

How Tilt Detection Works

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Dr. Geetali Saha, Faculty, GCET, Gujarat
Dr. Geetali Saha, Faculty, GCET, Gujarat
Dr. Geetali Saha is a researcher and technologist specializing in time series forecasting, data mining, and the intersection of electronics, IoT, and environmental sustainability. She holds a Ph.D. in Time Series Forecasting and has a strong focus on applying data-driven insights to real-world challenges, particularly in water systems, climate resilience, and sustainable development. Her work reflects a deep commitment to advancing education, innovation, and environmental stewardship in India. Dr. Saha has contributed to several impactful projects, including EU-funded ERASMUS initiatives on inclusive and equitable education for higher education institutions in India. She has also led and supported technology-driven projects such as smart helmets, agri-drones, and water-focused innovations funded by government-backed programs. Recognized globally for her contributions, Dr. Saha is an approved Ocean Expert under UNESCO’s Intergovernmental Oceanographic Commission (IOC) and an active stakeholder in the UN Ocean Decade initiative aligned with SDG 14: Life Below Water. She has participated as a delegate at multiple COP summits and is actively involved in international working groups focused on ocean observation, hydrography, climate communication, and plastic pollution. In addition, she is a life member of professional bodies such as the Indian Meteorological Society and the Indian Society for Technical Education. Her work continues to bridge technology, sustainability, and education, with a strong emphasis on empowering the next generation through innovation and knowledge.