1.Abstract

2.Introduction

In this paper, we have proposed a system for visually impaired people using an ESP32 microcontroller, Radar sensor, Ultrasonic sensor, and GPS. This proposed system detects the object and converts it into an audio signal. We have used different types of sensors. It also contains Bluetooth for audio navigation. This smart stick is user-friendly, light in weight, low power consumption, easy to use, and easy to understand for the user.

In the past, Visually Impaired People were always dependent on their relatives and friends for assistance or guidance in their daily chores and routine. There are also trained dogs to assist the visually impaired person which is not always affordable to the user

3.Previous work

4.Proposed System

As seen in the past, there are various studies done on the blind stick for visually impaired people. These blind sticks mainly consist of object detection sensors, buzzers, vibration sensors, and GPS. Over the years, blind people were mostly dependent on their family, friends, and relatives for their daily chores and work which is not always accessible for everyone. The blind people mostly used cane sticks.

The proposed system for the stick consists of various components such as ESP32, Radar Sensor, Ultrasonic Sensor, Speaker, Bluetooth, Wi-Fi, Camera, Google Assistance, LDR sensor, Vibration sensor and Buzzer, Water Sensor, Battery, and Solar Panel. The camera is used for object detection and the detected object image is then converted into the image to an audio signal. The navigation is done for the front side, left side, and right side of the stick. The LDR sensor is used to sense daylight and night.

5.Result:

6.Comparision Table:

The proposed system has been implemented to provide the blind person with smart assistance. It has been implemented using ESP32, and the movement of the moving object is detected. Google Assistance is provided to assist the blind person. This stick is user-friendly, light weight, cost-efficient. The main objective of the project is to detect the object and hurdles in the path of the user. The picture in conclusion shows a group of people, a monitor, car, bike, chair, potted plant, and sofa which are examples detected using our smart blind stick and also the stick can detect more than 30-40 objects and these detected objects are converted into an audio signal. The solar panel is for charging the battery continuously, the main motive is to keep the battery charged. The buzzer, moisture sensor and vibration sensor are used to indicate the objects and hurdles on the path of user.

Table. 1 Comparison between Existing System and Proposed system.

7.Result Image

8. Conclusion

The Smart Stick which we have created is easier to understand and handle. The stick has low weight which makes it efficient to carry anywhere. We have also added Solar Panels to charge the battery in case the user forgets to recharge the battery or is unable to find a power supply. The solar panel keeps charging the battery automatically using sunlight. Our smart stick does real-time object detection; hence the smart stick detects the motion of the moving objects on the path of the user. The stick has the feature of navigation which guides the user about his path. The stick has a sensor on the left, right, and front sides of the stick for object detection and detection of motion. The detected object signal is converted into an audio signal and transmitted through Bluetooth to the speaker. The moisture sensor is used to detect water, and slippery surfaces to protect the user from accidents. We have also added an emergency button for sending the notification of the user’s location to the operator, family, or friend

9.Acknowledgement

10.Refrences

I would like to thank my Teachers, Prashant Pal, Shashank Kumar for their guidance and support in completing my project and research paper on "Smart Navigation System Assistance For Visually Impaired People." Their expertise and encouragement were invaluable in shaping my understanding of the topic. I am also grateful to my colleagues and peers who provided feedback and suggestions, improving the project's quality. Lastly, I thank the institutions and organizations that provided resources and infrastructure for the research. Thank you all for contributing to the successful completion of this project and publication of the research paper

• Ashwini Kumar, Ankush Chourasia, “Blind Navigation System Using  Artificial Intelligence”, Volume:05 Issue:03 March 2018, IRJET, e-ISSN:2395-0056, p-ISSN:2395-0072.

• Mukesh Prasad Agrawal, Atma Ram Gupta, “Smart Stick for the Blind and Visually Impaired People”, 2^nd International Conference on Inventive Communication and Computational Technologies(ICICCT 2018) CFP18BAC-ART;ISBN:978-1-5386-1974-2.

• Nkosinathi Emmanuel Shandu, Pius Adewale Owolawi, Temitope Mapayi, Kehinde Odeyemi, “AI-Based Pilot System for Visually Impaired People”,2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) DOI: 10.1109/icABCD49160.2020.9183857.