Topic of the analysis proposal:
Face recognition technique for human–computer interaction
Background or a quick literature review on the analysis topic:
Implementations of face recognition systems embody police investigation cameras in point of entry, Sunshine State and Newnham, nice UK 2. Trials of the systems yielded poor results. The Newnham system didn’t lead to one arrest being created in 3 years. The system achieved solely sixty-one.7% accuracy 5. Google is testing face recognition employing a hidden feature in its image looking web site 7. Google purchased laptop vision company Neven Vision in 2006 and plans to implement its technology into its Picasa icon software package.
Objective:
The project objective is to implement face recognition in Associate in Nursing optimum method in terms of run time onto the embedded system. numerous algorithms and methodologies area unit studied and hardware resources coming up with are going to be done to attain the goal. this type of face recognition embedded system will be wide utilized in our lifestyle in several sectors. we tend to hope that human life will be greatly helped with this technology.
Face recognition is a horny biometric to be used in security applications. Face recognition is non-intrusive; it will be performed while not the subject’s knowing. This has become significantly necessary in present time as a result of demand for increased security is publically interest.
Methodology:
A photographic camera is employed to capture images; new detected faces will be recorded. data like name, organization, character and hobby with regard to every individual will be input and hold on within the device. Faces area unit hold on within the information for the face-recognition operate. at the most 5 faces of various viewing angles will be hold on for every person/record.
