Analysis of chili fruits detection from stereo camera images using YOLOv5

Shahrul Azlan, Muhammad Shahmin Nashri (2022) Analysis of chili fruits detection from stereo camera images using YOLOv5. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Chili is one of the fruits that has become as essential for cooking mostly for Malaysian’s people. Eating chili provides an additional spicy taste in ancient times. There is evidence of archaeological discovery sites located in south-western Ecuador where they add a chili as an additional ingredient of food since 600 years ago, and it was one of the most important plant for growing areas on the American continent at the time as a chili farm. Less accurate for chili maturity and labour intensive, an automated approach for chili picking is prevalent. In many image recognition problems, 2D images is used. However, due to the lack of image information such depth, 2D images is considered impractical to be applied in real environment. Hence, this work aims to detect and recognize the chili fruits in order to estimate their maturity level and also for pursuing picking process. This work is expected to identify the shape and maturity of a chili through the color using YoLov5. This work also is a part of our intention to develop a semi-autonomous chili picking robot.

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