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Accurate localization of objects in three-dimensional (3D) space is essential for numerous applications in robotics, automation, and intelligent systems. This project presents a low-cost, real-time 3D coordinate detection system that combines computer vision and range sensing techniques. To find the X and Y coordinates of an object in the image frame, the suggested system combines a webcam with an Open CV-based YOLO (You Only Look Once) object detection model. Concurrently, the Z coordinate is obtained by measuring the distance between the sensor and the object using an ultrasonic sensor. The system can estimate the object's XYZ position in space by combining data from both modules. The method is suitable for a variety of embedded and robotic applications since it provides a useful and effective way for 3D localization with little hardware and open-source tools.
Keywords:
-Ultrasonic sensor, Yolo, 3D Coordinate
Cite Article:
"3D Coordinate Detection System Using YOLO and Ultrasonic Sensing", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b344-b349, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511144.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator