WEEK 12: MEETING WITH SUPERVISOR

MEETING AND UPDATE THE PROGRESS

Week:    12

Date:      30th December 2022

Activity: 

  • Meeting and update the progress to Supervisor.
Objective:
  1. To show the progress of the proposal report.
  2. To ask for suggestion and opinion.
Content:
In this week, I have met with my supervisor, Dr Mohd Zaki Bin Ayob to discuss the progress and what I got from proposal defense presentation. For proposal defense presentation, the accessor like the proposed project, mostly they ask involving the methodology of the proposed project. For proposal report, I have changed a bit on the flowchart.





Other Update:

Circuit Diagram, I changed the name to System Diagram after discussed with my supervisor.




Expected Result is added as chapter 4 to illustrate expected outcomes of the project. I am also added the datasheet of each hardware as an attachment to the proposal.

for the conclusion of the proposal: 

In conclusion, the proposed project aims to address the problem of time-consuming and potentially stress-inducing manual fish measuring methods currently in use. The objective is to design a fish length measuring system based on computer vision technology. This system will have the ability to estimate the fish weight from the measured length and its performance will be evaluated for potential use in aquatic life monitoring and measurement. The development of this computer vision-based system can improve the accuracy and efficiency in the monitoring and measurement of fish populations, which can have important implications for the management and conservation of aquatic resources. Additionally, using this system can also alleviate stress on the fish caused by manual measuring methods.

and abstract of the proposal:

Aquaculture is the farming of aquatic organisms such as fish, crustaceans, mollusks, and aquatic plants. In Malaysia, aquaculture is one of the key factors boosting the country's economy. However, the growth of the aquaculture industry is not without its challenges. One of the main challenges is the measurement of fish, which is a crucial parameter for identifying fish health, reproduction, and growth. Presently, fish measurement is done manually, which is time-consuming and can stress the fish. This project addresses this challenge by designing a fish length measuring system based on computer vision technology. The system is aimed to be able to measure the length of fish and reducing stress on the fish by implemented the technology of computer vision. Furthermore, the ability to estimate the weight and the length of the fish will help the industry in identifying the measurement of fish which is important for aquaculture. The performance of the aquatic life monitoring and measurement system will also be evaluated to ensure it meets the requirements of the aquaculture industry.

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