WEEK 6: LEARNING OBJECT DETECTION FOR MY SYSTEM

Date: 10 -14 April 2023

Content:
In week 6, I was dedicated to expanding my knowledge in the field of object detection using OpenCV and Python. I started by learning the basics of object detection, understanding its significance and practical applications to My Final Year Project named Fish Measurement System. I explored the concept of template matching, a technique used to locate a template image within a larger image, corner detection algorithms, which identify and locate corners or keypoint in an image, detection methods, including popular algorithms like Canny edge detection, to detect and highlight edges in an image. I also learned about grid detection techniques, which involve identifying grids or patterns in an image. I learned about contour detection, it is a process that identifies and extracts the contours or boundaries of objects in an image.

Additionally, I tried to make cat detection by using Haarcascade method, I also explored the principles of Haarcascade classifiers and learned how to utilize pre-trained Haarcascade models for cat detection.

Conclusion:
Overall, week 6 was filled with exciting discoveries in the realm of object detection. Through my studies in OpenCV and Python, I learned various techniques to apply to my Final Year Project (FYP) Fish Measurement System. 

Appendix:
Figure below shows cat detection which is my side project for my trial on object detection.

Figure: Cat Detection


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