An overview of what we did:
- Finished and presented our project proposal
- Went over feedback such as reconsidering which algorithm / process to use to track people and took notes on it
- Viewed other’s research proposals and gave feedback when necessary, we also noted some tools and technologies we could consider for own project
- We continued to research independently for tools on our project
- We will meet to go over our research items and discuss next steps in the coming week
In terms of what we will do this upcoming week, we hope to do the following:
- Decide which web framework we will use
- Decide which database we will use
- Decide whether processing will be done in the cloud or a local machine
- Decide which cloud platform we will use
- Decide which algorithm we will move forward with for object detection
- Decide how we will detect when there has been motion in the aisle and which algorithm to use for people detection
- Assign specific tasks and deadlines for preliminary implementation moving forward
The most significant risks that we know of thus far are:
- Using algorithms that demand too much computing power or take too long for the systems we run them on
- Mitigation: comparing processing on cloud vs local machine
- Accurate trigger mechanism for when to run object detection
- Mitigation: Researching fast motion detection processes i.e. background subtraction
- Poor understanding => poor implementation => non functioning product
- Mitigation: through research stage, and asking questions on slack to probe the experienced minds of the professors and TA’s
There were no changes made to the existing design or schedule