Tablet Face Recognition Login
New technologies are solving common denominator problems, so of course
they are also applicable in developing countries. awarenet's picture
login  is a fairly low security but effective way of allowing school
children with low levels of literacy to log in and use the csocial
network. The aim of awarenet is to stimulate literacy in ways that the
children are already eager to learn.
One of the prime barriers we found that was preventing children from
effectively using trainer time, is the simple old login. Trainers spent
significant amounts of time just getting kids that had forgotten their
logins, onto the system. The picture login had the problem that without
a complex seeding algorithm to provide more variety in the system, its
100 pictograms were just not diverse enough to provide high levels of
security, even when strung together in groups of 5 or 6 images.
Enter the possibility of facial recognition login. Since Samsung
introduced face login for its Galaxy phone  this technology has
become main stream, which means key stakeholders may be familiar with it. Further, with rising numbers of cameras present in
systems, especially tablets, it is a small step to add facial
recognition to login capabilities there. Finally, using tablets in classrooms is fast becoming reality with the eKhaya ICT already developing an array of content and networking technologies for this field. This all means that we are a small step away from adding face login to the array of personal protection in ICT4D projects.
node.js is an ideal technology for the creation of such a solution. An example of a simple free software solution is Charles Wang's Masters project . Affordable, fast secure solutions promise that rural students can in future
keep their private information secure, simply. That classes can effectively engage in learning what they need to without the hassle of the hard login lesson.
November 25th 2014 08:08