This project aims to build an Artificial Intelligence-powered multimodal sensing system that can monitor the learning performance of students in a classroom environment. The project will consist of three parts: first consists of environmental sensing modules in order to sense data to predict the tem
Multimodal sensing system for classroom
This project aims to build an Artificial Intelligence-powered multimodal sensing system that can monitor the learning performance of students in a classroom environment. The project will consist of three parts: first consists of environmental sensing modules in order to sense data to predict the temperature, illumination, air quality, acoustic noise. We have learned from research papers that these factors affect the concentration levels of human beings. The second part of the project consists of a visual sensing platform where we will use two HD cameras in order to monitor students. Here, video recordings will be fed to Deep Neural Network-based models in order to get information about the student's body posture, students’ movement, how many students are there, even their head orientation, the speech act between student vs instructor, body segmentation. The third component of our project is an Android Application that will be used to get meta-data (such as their concentration level, how much they learned etc.) from students after every class. We plan to collect data for two Semesters but this depends on when on-campus classes resume. At the end of the project, we will undertake the data-driven analysis and report on factors that affect students’ performance in classrooms.
Hardware part:
Integrate Temperature and Humidity sensor (DHT22)
Integrate Illumination sensor (APDS9960)
Integrate Gas sensor (MQT-135)
Integrate the spw2430 sensor.
Integrate all these sensors with ESP8266 or NODE MCU for internet connection,
Integrate the camera in the classroom.
In the Hardware part, we design a sensing Module to collect the data of sensors
For video data, we integrate only a camera to collect video data of the classroom.
Software part:
Working on Android studio to develop an android application.
Data collection and data-driven analysis
https://drive.google.com/file/d/1PpKhIm5UmZKdGeeCpDQwobaxcKGoHsb6/view?usp=sharing
Teaching environments in schools, colleges, and universities are typically sub-optimal. In most cases, the classroom environment is not designed to optimize the learning process. Our project seeks to change this. We aim to build a system that can analyze data from audio, visual, and environmental sensors in order to gauge the performance of students.
Such a system can be useful to design a better classroom environment that can improve the quality of learning, one which engages all students in the learning process.
By creating an atmosphere of understanding and encouraging students to listen with the goal of understanding, we can improve their communication skills.
Our system will sense the environmental conditions like temperature, humidity, and gas level in the classroom smartphone usage sensing, visual sensing, get the feedback from the smartphone application. We will test such a hypothesis by taking a Telecommunication department as a case study. By this, we can improve the learning efficiency of the classroom. The system will able to monitor and assess the environment to ensure the comfort of the students.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| NODE MCU | Equipment | 2 | 700 | 1400 |
| DHT22 | Equipment | 2 | 600 | 1200 |
| APDS9960 | Equipment | 2 | 1200 | 2400 |
| MQT-135 | Equipment | 2 | 200 | 400 |
| Spw2430 | Equipment | 2 | 2080 | 4160 |
| Sand disk CD card 32GB | Miscellaneous | 3 | 1600 | 4800 |
| Arduino Nano 33 BLE | Equipment | 1 | 12000 | 12000 |
| Camera setup (Package)02 CCTV cameras 5 MP | Equipment | 1 | 20500 | 20500 |
| SD card module | Miscellaneous | 3 | 170 | 510 |
| Total in (Rs) | 47370 |
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