- Finalized the mechanical design for the conveyer belt system (currently have rack and pinion as a contingency plan).
- Extracted color ranges from hsv space for certain images (experimented on a picture of a banana).
- Ordered the Nvidia Jetson Nano 2GB and the Raspi camera module V2. Started experimenting with them. Next step is to write a program to take a picture and save it on disk.
- Worked on the design presentation. Finalized some design points (apart from mechanical) that were previously unanswered.
- Performed risk analysis and risk mitigation. In particular, if we can’t assemble the conveyer belt ourselves, we will use the treadmills in the CUC gym to simulate the process.
- Started looking into algorithms for extracting features (e.g localized black spots in a banana) from the segmented images.
Ishita Kumar’s Status Report for 03/06/21
This week I talked with the team and decided on parts to order. We sent in an order for the Raspberry Pi camera and the Nano and received it already. I worked on image segmentation on a picture of a banana from google. I converted the image from rgb to hsv space and extracted colors within a certain range of yellow using a mask. I am going to continue working on improving the mask by using it on different pictures of bananas. I also worked on the design presentation slides. For next week, I am going to improve the segmentation algorithm and add to it to segment black spots on bananas as well. Then, I will try to merge my code with Ishita Sinha’s so we can do color analysis.
