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Please find below comments and feedback from the examiners for your final-year project undertaken in 2023-2024.
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**INTRODUCTION**
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Defines the project area and its place within the subject, economic, customer and/or commercial context. The Aims and Objectives introduce the main aims at a high level, but further refined in the specification later.
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**LITERATURE REVIEW**
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The background introduces the tools and packages used throughout the project, while the literature review is an in depth discussion of several state of the art approaches for the various computer vision aspects of the project. Could have used a closing discussion summarising how what was learned from the literature affected the project.
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**SPECIFICATION AND DESIGN**
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Excellent specification, detailing not only the flow chart or state machine, but also the design of the single nodes and the interfaces. Reveals more than mere competence in the application of standard knowledge.
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**IMPLEMENTATION/TECHNICAL ACHIEVEMENT**
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The implementation is rather complex and combines many areas of both 2D and 3D vision. It comprises face and pose detection, feature extraction, person re-identification, and more. Also, it is impressive that this has all been implemented, tested, and verified on the real robot, with excellent results.
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**EVALUATION**
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Very thorough experimentation going over the requirement. Most of it was carried out on the real robot (with the help of lab colleagues), which is impressive. Data has been collected on the reliability of the single parts, and the whole task is demonstrated in the video. A very successful implementation.
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**GENERAL SCHOLARSHIP**
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The report is well structured and written. Several images help explain the computer vision components. Consistent formatting and correct use of bibliographical conventions. Clear, coherent, logical structure to the report. Grammatical, expressive style.
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**LEGAL, SOCIAL, ETHICAL AND PROFESSIONALEUR¦**
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Legal issues relating to processing image data of users are considered, along with health and safety consideration regarding working with a mobile robot. The section also discusses ethical aspects of feature extraction with diverse set of users. |
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