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WEEK 14 - 18: TECHNICAL PAPER AND THESIS FYP COMPLETION

Week 14, Date: 12 - 16 June 2023 Week 15 - 18, Date: 18 June - 12 July 2023 Content: In week 14, was dedicated to the final task of producing the technical paper based on the completed project. The technical paper serves as a condensed version of the Final Year Project (FYP) report, summarizing all the relevant information, results and analyses in a concise and factual manner. Additionally, during this week, my supervisor conducted plagiarism check for the thesis using Turnitin Software, the assessed document was found a plagiarism rate of 22%, which is considered good and indicates the originality of my work. Moving on to week 15 to 18, I focused on completing the remaining parts of the thesis that had been partially done during FYP1, minor changes were made to Chapter 1,2 and 3, while Chapter 3 required modifications to reflect the Fish Measurement System methodology. Meanwhile, Chapter 4 and 5 received major changes and updates. After completing the thesis, I submitted it to my su...
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WEEK 13: PRESENTATION AND DEMONSTRATION DAY

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Date: 5 - 9 June 2023 Content: In week 13, excitement filled the air as the much-anticipated presentation day drew near. With all the necessary preparations in place, including the printing of my project poster, the final touches were finish. The long-awaited day arrived on Wednesday, 7th June, and I was arriving early to signing up and setting up my booth. During presentation, I was being assessed by Ts. Dr. Ismail Adam, from Electronic Technology section lecture, and Dr. Haslawati Baharuddin, a representative from the Fisheries Research Institute. I delivered a detailed and comprehensive pitch, hoping to capture their interest and convey the importance of my project. The response to my presentation was positive, with Dr. Haslawati Baharuddin even engaging in a discussion about my project afterwards, indicating her interest and further validating the value of my work. Conclusion: In conclusion, week 13 was an important milestone as it marked the presentation day for my Final Year Pro...
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WEEK 12: FYP WORKSHOP & MODEL TRAINING AND FINISHING MY PROJECT

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Date: 29 - 31 May/1 - 2 June 2023 Content: During week 12, I participated in an online FYP workshop conducted through Microsoft Teams, focusing on claim and documentation for the Final Year Project (FYP). The workshop provided valuable guidance on documenting the claim, progress report and the process of uploading related documents. This workshop equipped me with the necessary knowledge to ensure proper documentation of my FYP. Simultaneously, I dedicated time to model training using the YOLOv5 framework. Although initially achieving satisfactory results with precision and recall above 70%, I encountered an issue where the model misidentified the background as fish. To overcome this challenge, I transitioned to YOLOv8, an upgraded version of the YOLO model. The training results with YOLOv8 surpassed expectations, getting precision and recall rates exceeding 90%. With the highly accurate model, I proceeded to develop a Fish Measurement System using Computer Vision techniques, allowing ...
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WEEK 11: FYP WORKSHOP & DATA COLLECTING AND ANALYSIS

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Date: 22 - 26 May 2023 Content: In week 11, I had the opportunity to participate in an online FYP workshop conducted through Microsoft Teams, which focused on Technical Paper Preparation. The workshop provided value insights into the formatting and content requirements of technical paper, as well as tips and tricks for effective presentation of research findings. This knowledge will be useful for my technical paper. Furthermore, during week 11, I dedicated my time to data collection for my Final Year Project. I gathered a comprehensive dataset consisting of 1400 images. I also got 180 dataset for length and weight value for Red Tilapia Fish provided by the Fisheries Research Institute Glami Lemi, Through my analysis, I calculated the parameters 'a' and 'b' for the Length-Weigh Relationship. The resulting calculations error rate of 1.8% indicates the high level of accuracy was achieved. Conclusion: In conclusion, week 11 marked significant progress in my Final Year Proj...
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WEEK 10: GET MATERIAL/COMPONENTS FOR FYP & VISIT FRI

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Date: 15 - 19 May 2023 Content: During week 10, I focused on acquiring essential materials and components needed for my Final Year Project (FYP) such as an aquarium, water pump, camera, and other necessary equipment. In addition on May 18th, I had the opportunity to visit the Fisheries Research Institute Glami Lemi, Jelebu, Negeri Sembilan, Malaysia. At there, I presented my updated progress regarding my final year project. The institute generously provided fish for a demonstration day, allowing me to conduct experiments and collect data. They also supplied me with materials like anti chlorine to maintain water quality and fish food to ensure the well-being of the fish throughout the project. Conclusion: Overall, week 10 was dedicated to procuring the necessary materials for my FYP. The visit to the Fisheries Research Institute was a valuable opportunity for me. With these resources in place, I am well-prepared to move forward with my project, conducting experiments and collecting dat...
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WEEK 9: LENGTH-WEIGHT RELATIONSHIP

Date: 8 - 12 May 2023 Content: In my Final Year Project (FYP), one of the objectives is to estimate the weight of fish based on their length. Thanks to Dr. Haslawati Baharuddin, one of the researchers at Fisheries Research Institute Malaysia, she suggested that to uses and implementing Length-Weight Relationship to my project. In week 9, I started delved into the Length-Weight Relationship, which is represented by the formula W = a * L ^ b, where weight (W) of a fish based on its length (L), with 'a' and 'b' being parameters specific to the fish species. I also explored the application of Length-Weight Relationship in fisheries management and analyzed it strengths and limitations to ensure that this formula suitable for my project. Conclusion: Overall, week 9 was focused on understanding the Length-Weight Relationship and its relevance in fisheries management. Through my learning, I explored the formula factors influencing the relationship between weight and length of ...
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WEEK 8: TRY DIFFERENT OBJECT DETECTION METHOD & LEARN DEEP LEARNING FOR COMPUTER VISION

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Date: 1 - 5 May 2023 Content: In week 8, I was focused on expanding my knowledge of deep learning for computer vision and finding a suitable alternative for object detection in my Final Year Project (FYP). I learned machine learning basics, classification metrics, neural networks, gradient descent, Keras, MNIST dataset and convolutional neural networks.  In this week 8, I encountered some challenges with the 'Detecto' library, as its detection speed did not meet the real-time requirements of my project. As a result, I explored new method on object detection called 'Yolov5' known for its speed to detecting object and I utilized 'Roboflow' annotation tool to support the training process. Conclusion: Overall, week 8 involved a deep dive into deep learning for computer vision. Furthermore, I made an important decision to shift from 'Detecto' to 'Yolov5' object detection method due to its improved speed. Appendix: Figure below shows the output for fi...
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