An overview of what we did:
- Wrote our Ethics assignments and discussed what we wrote amongst each other
- Received feedback on the design report review and have noted those changes to be implemented for our final version of the report
- Progress was made in the background subtraction for motion / people detection
- Progress was made for the object detection as well as a potential solution to our SIFT / SURF issue
- Ordered and received the remaining parts that we need for one complete wireless system (we were missing a SD card and a camera tripod)
- Completed essentially 80% of the web application before spring break
In terms of what we will do this upcoming week, we hope to do the following:
- Determine how our set-up will look for the interim demo (i.e. how are we going to set up the shelf?)
- Set up the wireless system and attempt to send dummy data to a local machine (i.e. one of our laptops)
- Wrapping up everything on the web application that doesn’t require the input data from the detection algorithms (i.e. designing the UI for the view that shows the data to the user, linking some more URL routes, etc.)
- Continued progress on detection for both motion/people and objects
The most significant risks that we know of thus far are:
- The most significant thus far is still the potential that we will have to work with 2 different camera systems considering the scarcity of raspberry pi’s right now
- We might have to use a laptop, webcam, and do a different control design
- We are not sure how well the ARDUCAM lenses will work with images (i.e. we believe that it is a fisheye lens and we may need to order another type of lens if that doesn’t work out with object detection)
- We will determine how well the current fisheye lens works with object detection this week.
- Another potential risk / consideration is integration since we have made progress in detection, but we need to really think through how are system will actually use the detection in an autonomous integrated manner
- A risk we have in the background subtraction part of our openCV background subtraction part is that, there’s not been a resolution to keeping track of how many people are on the screen. Mitigation plan for this would probably involve getting help from our instructors and professors in CMU and research beyond for figuring out how to extract information from a grayscale image.
There have been no changes to our schedule, but in terms of the design, we realized through research in setting up our wireless system that we will need a SD card to run the RPI and the camera will need to be propped up with a tripod. As a result, we ordered both those parts this week and they have recently arrived. We will be setting up the system this week.