Papers by Sankaradithyan Gunasekharan
IRJET, 2022
It might be quite time-consuming for the teachers to manually manage attendance. To solve this pr... more It might be quite time-consuming for the teachers to manually manage attendance. To solve this problem, sophisticated and automatic attendance management systems are being deployed. The problem of proxies and students being counted as present even if they are not is easily resolved with this architecture. This technique records attendance via a live video broadcast. The video frames are extracted using OpenCV. The two main implementation tasks for this kind of system are face detection and face recognition. Following this, a relationship between them ought to be conceivable by comparing the identified faces with the database of students' faces. This model will be a useful tool for controlling staff and student attendance.
2018 International Conference on Smart City and Emerging Technology (ICSCET), 2018
One of the main challenges for the visually impaired people is that they need support from other ... more One of the main challenges for the visually impaired people is that they need support from other people, traditional white canes or dogs while they are walking along the road, footpath, bedrooms, kitchen and much more. So in this paper, we purpose the SWSVIP-Smart Walking Stick for the Visually Impaired People using Low Latency Communication. Various new features of our implementation are as follows. First, we achieved the low latency communication for transferring the data by proposing new algorithms. Second, we can detect the obstacle within the range of 5 meters using the ultrasonic sensors. Using their enhanced capabilities to use other senses, we provide different alerts for the obstacles within the different range which would help them draw a picture of their surrounding area within their mind. Third, the power saving capability of the designed stick is high which in turn acts as a cost-effective solution and reduces the burden to change batteries and charge them very occasion...
In today’s fast paced world, for an organization with around 500 employees, a manual attendance s... more In today’s fast paced world, for an organization with around 500 employees, a manual attendance system is highly inefficient and time consuming. Traditional methods of automatic attendance systems like fingerprint, RFID or iris scans are easy to bypass, as the biometric features, such systems take into consideration are far less than facial features. Our facial recognition system is used to detect a person’s face and then compare it with the stored facial database to recognize it. Once the face is recognized, his attendance is marked, along with his in-time and out-time, and stored in a database. This paper proposes a system which uses Haar cascade method for facial detection integrated with principal component analysis (PCA) technology for facial recognition. This whole process is carried out on a raspberry Pi B+ module using OpenCV (Open Source Computer Vision) library installed on it. The attendance database is created in MySQL which keeps a record of employee’s in-time and out-t...
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Papers by Sankaradithyan Gunasekharan