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https://github.com/anidipta/student_phone_use_detector


https://github.com/anidipta/student_phone_use_detector

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README 

        
# 📚 Classroom Phone Usage Detection System



## 🛠️ Approach



### 🕵️‍♂️ Object Detection with YOLOv8x

- **Utilize YOLOv8x for Object Detection**: Deploy the YOLOv8x model, a state-of-the-art object detection framework, to accurately detect and classify students talking on the phone in classroom environments.

- **Custom Training**: Fine-tune YOLOv8x on a custom dataset containing images of students with and without phones, ensuring the model is specifically tailored to this task.



### 🧹 Data Collection and Preprocessing

- **Data Collection**: Gather a diverse dataset of classroom images, with annotations for students using phones, to cover various angles, lighting conditions, and classroom setups.

- **Preprocessing**: Normalize the images and apply augmentation techniques like rotation, flipping, and scaling to increase the dataset's diversity and improve the model's robustness.



### 🧠 Fine-tuned YOLOv8x Model

- **Model Architecture**: Leverage the YOLOv8x model’s deep neural network architecture to detect small and complex objects, like phones held by students, in real-time.

- **Fine-Tuning**: Train the model on the curated dataset, ensuring it can distinguish between students who are talking on the phone and those who are not, even in crowded classroom scenes.



### 🚀 Real-time Detection and Alert System

- **Continuous Monitoring**: Implement a real-time video feed analysis module that continuously scans the classroom environment, detecting students talking on the phone.

- **Alert Mechanism**: Develop an alert system that notifies educators or triggers an alarm when a student is detected using a phone during class.



### 📊 Detection Report Generation

- **Data Aggregation**: Collect detection data over time to generate reports on phone usage patterns within the classroom.

- **Visualization**: Create intuitive visualizations, such as bar graphs or heatmaps, to highlight when and where phone usage occurs most frequently in the classroom.



### 🖥️ Application Development

- **User Interface**: Design a user-friendly interface that allows educators to monitor classroom activity in real-time, view alerts, and access detailed reports.

- **Features**: Include features like customizable alert thresholds, historical data review, and integration with school management systems.



### 🌐 Deployment and Integration

- **Platform Integration**: Deploy the application for seamless integration with existing classroom monitoring systems or as a standalone tool.

- **Hardware Compatibility**: Ensure the system is compatible with various camera setups and classroom environments, supporting both fixed and mobile monitoring devices.



### 🔄 Continuous Improvement

- **Model Updates**: Regularly update the model with new data to adapt to changes in classroom dynamics and improve detection accuracy.

- **Feedback Loop**: Implement a feedback mechanism for educators to provide input on false positives or missed detections, enabling continuous refinement of the system.