One significant risk the group face is not being able to increase our recognition accuracy to the required MVP levels. Local PCA was not successful, so we switched to Global PCA. That still was not good enough, so we implemented LDA, used more data, and more eigenvectors. Still now, we do not have enough accuracy. We are hoping and hypothesizing that we made a mistake with the fisherfaces implementation, which when fixed will increase our accuracy.
Another risk is that we need to come up with an algorithm to delineate between a stranger and non-stranger. Two approaches have already been field with limited success.
No major changes have been made to the existing design, and the schedule does not need to be updated from last week.