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Nowadays, Attendance monitoring and marking is considered as one of the important tasks for the student and teacher of an institution.
As we can notice continuous progress in the field of technology and innovation, it is possible to create an ecosystem that itself can detect the presence and absence of the student and can maintain a proper record.
Usually, the attendance of all student can be taken in 2 different ways:
In the Manual Student Attendance Management system, the concerned faculty needs to call out the name of the particular student and in response, that student indicates his/her presence.
Nowadays, the Manual attendance marking system is a time-consuming process and it comes with various disadvantages.
For example:
- 1.
A teacher can miss calling out someone’s name.
- 2.
A student can indicate its presence multiple times, etc.
To overcome all these problems we go with the Automatic Attendance System.
In the Automatic Attendance System (AAS), the system can detect the existence of students’ by using face recognition technology. The automatic detection of presence or absence of the students can be identified by registering the students’ face on a HD camera device.
The two Human Face Recognition approaches are:
- 1.
Feature-based approach is also called the “local face recognition”, it points to the key facial features like ears, nose, eyes, etc.
- 2.
Brightness-based approach also called the “global face recognition”, and it is much better than the previous approach. It recognizes all the characteristics of a face (Chokkalingam, S. P. et al, 2019), (Eleyan, A., 2017).
IOT and Its Applications
IOT (Internet of things) is a base on which different hardware of specific capabilities are integrated along with the internet to perform one or more tasks and exchange data with each other to achieve a goal.
IOT is getting acknowledged for its capabilities and the areas to which it can be applied to revolutionize an industry in terms of efficiency.
Applications of IOT
- 1.
It can be used in the maintenance of traffic.
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It can be employed in homes to have smart electricity and water management.
- 3.
It is nowadays tried to use it in the field of agriculture to maximize the profits with less damage to soil.
- 4.
It can be used to secure the surveillance and security systems.
Security and Challenges of IOT
Security is one of the most important pillars of the internet and at the same time it is the biggest challenge for the IOT. The number of devices are increasing all over the world and with this increases the opportunity to exploit the security of these devices. Use of Outdated hardware and software is another big challenge. These devices are most vulnerable to hackers as they contain bugs and these devices do not get regular updates. Connectivity issues are also one of the major challenges which IOT faces among many other challenges. A large number of firms find connectivity issues as one of the biggest challenges that comes in the path of IOT deployment.
Machine Learning
The concept of machine learning came with the development of artificial intelligence. It is, ability of automatic learning and improvement from experiences provided by the system.
The main aim of ML is to create computer programs that can work in a manner to get better each time it produces some results which may be correct or incorrect.