PhD Studentship Vision Based Robotic Guidance and Monitoring Using 3D Sensor and Industrial Internet of Things (University of Coventry Department of Engineering, Environment and Computing )

Oxford Vision and Sensor technology (OVST) designs and develops vision system for industrial application, especially for the automotive industry. The current sensor uses stereoscopic vision for 3D reconstruction. The literature reveals that the current research focuses predominantly on using stereoscopic vision that can measure the depth information only. However, from an industrial point of view, full 3D models of the components under dynamic environmental conditions (e.g. varying lighting, uneven surface) are preferable to decrease the defective production rate. This PhD project aims to narrow the research gap by developing innovative sensor system, sensor fusion and filtering algorithms for OVST's vision system. Development of embedded signal and image processing platform for computer vision and cloud-based data processing and visualisation are other aims of this PhD project. The results will contribute towards making OVST's vision system ever competitive in the context of Industry 4.0 and IIOT. The project will be based in the Control, Sensing and Learning laboraotory at Coventry. This laboratory is part of the Institute of Future Transport and Cities (FTC) and is dedicated to the application of control, sensing and learning technologies for various industrial applications. Please contact Dr. Hafiz Ahmed (e-mail: hafiz.ahmed@coventry.ac.uk) with cc to Dr. Dina Laila (e-mail: dina.laila@coventry.ac.uk) to find out more about the project. If you apply for this position please say you saw it on Engineeroxy

Oxford Vision and Sensor technology (OVST) designs and develops vision system for industrial application, especially for the automotive industry. The current sensor uses stereoscopic vision for 3D reconstruction. The literature reveals that the current research focuses predominantly on using stereoscopic vision that can measure the depth information only. However, from an industrial point of view, full 3D models of the components under dynamic environmental conditions (e.g. varying lighting, uneven surface) are preferable to decrease the defective production rate. This PhD project aims to narrow the research gap by developing innovative sensor system, sensor fusion and filtering algorithms for OVST's vision system. Development of embedded signal and image processing platform for computer vision and cloud-based data processing and visualisation are other aims of this PhD project. The results will contribute towards making OVST's vision system ever competitive in the context of Industry 4.0 and IIOT.

The project will be based in the Control, Sensing and Learning laboraotory at Coventry. This laboratory is part of the Institute of Future Transport and Cities (FTC) and is dedicated to the application of control, sensing and learning technologies for various industrial applications.

Please contact Dr. Hafiz Ahmed (e-mail: hafiz.ahmed@coventry.ac.uk) with cc to Dr. Dina Laila (e-mail: dina.laila@coventry.ac.uk) to find out more about the project.

If you apply for this position please say you saw it on Engineeroxy

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