Paper PublishingCOVID-19 Monitor
Objective
In this project we are developing a deep learning based Real-time-Face Mask Detector with Python. The project helps us to notify if someone is wearing a mask or not. As, WHO has made a compulsion on wearing masks to protect against the deadly COVID-19 virus.
Abstract
The end of 2019 witnessed the outbreak of Coronavirus Disease 2019 (COVID-19), which has continued to be the cause of plight for millions of lives and businesses even in 2020. As the world recovers from the pandemic and plans to return to a state of normalcy, there is a wave of anxiety among all individuals, especially those who intend to resume in person activity. Studies have proved that wearing a face mask significantly reduces the risk of viral transmission as well as provides a sense of protection. However, it is not feasible to manually track the implementation of this policy.
Technology holds the key here. We introduce a Deep Learning based system that can detect instances where face masks are not used properly. Our system consists of a dual stage Convolutional Neural Network (CNN) architecture capable of detecting masked and unmasked faces and can be integrated with pre-installed CCTV cameras. This will help track safety violations, promote the use of face masks, and ensure a safe working environment.
Keywords: Deep Learning, Computer Vision, OpenCV, Tensorflow, Keras.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
HARDWARE SPECIFICATIONS:
- Processor: I3/Intel
- Processor RAM: 4GB (min)
- Hard Disk: 128 GB
- Key Board: Standard Windows Keyboard
- Mouse: Two or Three Button Mouse
- Monitor: Any
SOFTWARE SPECIFICATIONS:
- Operating System: Windows 7+
- Server-side Script: Python 3.6+
- IDE: PyCharm
- Libraries Used: Pandas, Numpy, sklearn, Flask, TensorFlow.
- Dataset: Face_mask_detection
Learning Outcomes
- Scope of Real Time Application Scenarios.
- What is a search engine and how browser can work.
- What type of technology versions are used.
- Need of PyCharm-IDE to Develop a web application
- Importance of computer vision.
- Features of OpenCV.
- Working Procedure.
- Testing Techniques.
- Error Correction mechanisms.
- How to run and deploy the applications.
- Introduction to basic technologies used for.
- How project works.
- Input and Output modules.
- How test the project based on user inputs and observe the output.
- Project Development Skills:
- Problem analyzing skills.
- Problem solving skills.
- Creativity and imaginary skills.
- Programming skills.
- Deployment.
- Testing skills.
- Debugging skills.
- Project presentation skills.
- Thesis writing skills.
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Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
