Detecting Obstacles using Image Processing and Ultrasonic Sensor

P. Thirusenthil Kumaran*, B. Shivani**, V. Roshini***, M. Akash****
*-****Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College, Thandalam, Chennai, Tamil Nadu, India.
Periodicity:July - December'2021
DOI : https://doi.org/10.26634/jic.9.2.18229

Abstract

This paper presents obstacle detection using image processing and ultrasonic sensor devices. This innovation allows visually handicapped people to navigate confidently and quickly using ultrasonic instrumentation and image processing using Raspberry Pi to detect nearby obstacles and guide them with real-time voice information. This solution makes use of Google Assistant and the Python programming language. The main goal of this project is to assist visually challenged people, and the device can be attached to a hat. This is a simple wearable gadget for the blind.

Keywords

Raspberry Pi, PI Camera, Ultrasonic Sensor, Image Processing, YOLO Algorithm.

How to Cite this Article?

Kumaran, P. T., Shivani, B., Roshini, V., and Akash, M. (2021). Detecting Obstacles using Image Processing and Ultrasonic Sensor. i-manager's Journal on Instrumentation and Control Engineering, 9(2), 28-37. https://doi.org/10.26634/jic.9.2.18229

References

[8]. Huang, J., Rathod, V., Sun, C., Zhu, M., Korattikara, A., Fathi, A., ... & Murphy, K. (2017). Speed/accuracy tradeoffs for modern convolutional object detectors. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 7310-7311).
[15]. Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016). You only look once: Unified, real-time object detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 779-788).
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