Our risks are very much the same as the risks we dealt with last week.
One significant risk is not being able to increase our recognition accuracy to the required MVP levels. As we said before, 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. We then tried some other techniques (randomly change brightness and contrast in training images, include higher resolution images, include more people in training) and they still have not yielded much success.
Another risk that remains is that we need to come up with an algorithm to delineate between a stranger and non-stranger. Two approaches have already been fielded 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.