Face Recognition Based Attendance System takes automated attendance management to the next level with an AI based system that ensures accurate and effortless attendance in schools. The tedious manual attendance systems that burden teachers with maintaining records and taking roll calls in each class, are now a thing of the past!
The quality of the reference image plays an important role in the identification process. If the resolution of the said image is not high enough, it can cause cameras to be tricked into believing that the person being scanned is not the same as in the photo. An easy solution is to ensure that both the reference images and scanning are performed by similar cameras.
Depending on the quality of the input data, a system would need an appropriate amount of storage. This could be troublesome if the data collected is of high quality and requires large amounts of storage space especially for events with a large expected attendance.
Students have to simply walk towards the installed screen/camera which already has pre-recorded images and data. A match is triggered with the database.
The Identity of the individual is verified with the database record and thus, attendance is recorded with the timestamp within a matter of seconds.
As a next step towards monitoring student activity in school premises, we are working on Sentiment Analysis. It is a an advanced facial recognition technology, which when installed in the institute/organization can further help to analyze and/or monitor various behavioral patterns of children, which can help in keeping an eye on any problematic or abnormal behavior.
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