Big news is coming for students, or maybe just for the college bunkers, and it might make them a little sad. Devi Ahilya Vishwavidyalaya (DAVV) has developed a new AI system, which has now been officially patented. So, what’s special about DAVV AI attendance system? In most schools and colleges, attendance is still done manually, which often takes a lot of time and can even lead to errors. This new AI system changes that. It can take attendance by scanning the faces of students in the classroom. Sounds futuristic, doesn’t it? Curious to know how this machine works and all the patent filing process that they have done? Let’s break it down.
Background of the Invention – Where the Idea Came From
The idea for this invention came from a very common problem faced by almost every student in schools and colleges — attendance. Usually, teachers spend 15–20 minutes just calling out names and marking registers. In classes with a large number of students, this time can even stretch to 30 minutes.
This is valuable time that should be used for teaching and learning, but instead it gets wasted. On top of that, errors can happen while marking, and in many cases, college bunkers manage proxies by asking friends to answer for them. All of this makes the process not only slow and tiring but also unreliable for proper management. That is where the idea was born — to create a smart system that can take attendance quickly, correctly, and without any chance of misuse.
To solve this problem, Dr. Vaibhav Neema from DAVV’s Institute of Engineering & Technology came up with an idea: Why not build a system that can take attendance automatically, quickly, and most importantly, without errors? With this thought, he and his group of graduates worked for almost three years. Together, they combined computer vision technology with AI-powered databases to create a smart tool that can mark attendance within just a few seconds.
The team faced hurdles in making the AI recognize faces in different lighting and crowded classrooms. Sometimes the system marked the wrong students, and fixing those errors took weeks of testing. They also had to design it in a way that worked without expensive hardware. Balancing research work with their regular studies was another challenge. In the end, their hard work paid off with a patent that made the university proud.
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How DAVV’s AI-Powered Face Recognition Attendance System Works
To understand this machine better, let’s look at a simple step-by-step guide of how it actually works.
Step 1: Make a class list and save each student’s face photo in the system (one-time setup).
Step 2: Click a clear photo (or select one) of the classroom.
Step 3: Upload the photo.
Step 4: The system scans the image and finds all faces.
Step 5: It matches each face with the saved student database.
Step 6: Attendance is marked automatically within seconds.
Step 7: Download the report (e.g., Excel/CSV) showing present and absent.
Step 8: If any face is unclear or unmatched, review and correct it manually.
Patent Milestone: DAVV’s AI Attendance System Officially Registered
To protect their invention, the team at DAVV followed India’s patent filing process under the Intellectual Property Rights (IPR) framework. First, they prepared a detailed patent application describing the system, its working process, and its benefits. This included technical drawings, algorithms, and claims about what makes the system unique.
The application was then submitted to the Indian Patent Office for examination and approved.
Conclusion
DAVV’s new AI attendance system is more than just a smart tool — it is a step toward modernizing classrooms and making education more efficient. With the official patent under IPR, the university has shown how innovation and technology can come together to solve everyday problems, while also setting an example for future research in India.
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