The COVID-19 has adversely affected almost every aspect of human life. All developing and developed countries have adopted the policies of lockdown to deter the spread of this precarious virus. Additionally, the World Health Organization (WHO) has also unleashed several standard operating procedures
Corona Virus Inspection Robot powered By Data Science AI
The COVID-19 has adversely affected almost every aspect of human life. All developing and developed countries have adopted the policies of lockdown to deter the spread of this precarious virus. Additionally, the World Health Organization (WHO) has also unleashed several standard operating procedures (SOPs) to curb the transmission of virus. The SOPs include following measures or protection against spread of virus.
These are the key SOPs recommended by WHO. Most of the times, monitoring of these SOPs is done manually by humans. This costs lot of money and also the monitoring staff at the entrance gates can also get infected due to contact with many peoople going through the entry/exit points of buildings in public areas in particular. By adhering above elucidated SOPs, We, the students of 2K17 batch from (Information Technology Centre, Sindh Agriculture University TandoJam) have coined the idea to develop the COVID-19 inspection robot to automate the process of adapting the WHO recommended SOPs to make it more affordable and safe to monitor the SOPs.
The goal of our final year projects to develop a humaniod robot using the latest technologies of Robotics, Internet-of-Things (IoT), Artificial Intelligence, and Computer Vision for , and the Internet of things. The robot will automat the process of monitoring the SOPs needed for prevenation from deadly COVID-19 or other virus.
The Covid-19 Inspection Robot will do the following tasks:
The project aim is to mitigate the escalation of COVID-19 by installing inspection robots at various crowded premises.
To reduce human workload.
To enhance the scope of robotics industries in Pakistan.
To implement proper SOPs against COVID-19.
To provide maximum performance in a short span of time.
To develop humanoid robots by indulging A.I applications.
To restrict the entrance of any person in crowded places who violates the SOPS of COVID-19.
Purposely designed to halt contagious plague.
This project will play a cardinal role for Governments to detect mild symptoms of Coronavirus through inspection robots and to quarantine infected localities easily to avoid the spread of the deadly virus in congested areas like universities, public gatherings, and sports events.
The robot performs the function of multitasking by exercising the activities of inspecting the wearing of masks, measuring the body temperature, checking vaccination status, and unleashing drops of sanitizer to ensure proper sanitation of fraternities within a short period and make them less vulnerable to the COVID-19.
As mentioned above, the COVID-19 inspection robot is a conclusion of interdisciplinary fields like Artificial Intelligence, Data Science, Machine Learning, and the Internet of things(IoT). The role of these technical fields in our project is discussed below.
This project has used Artificial Intelligence to train a model to detect faces. The model is called the "haar cascade model" and has a detection accuracy of 99.6%.
The role of data science in the project is to implement the function of face mask detection. To execute the function of data science, the bulk images data has been downloaded from the internet in the form of a chunk and trained through supervised learning mechanisms. We have used several data science libraries of python to achieve the end results.
We have used OpenCV (Open Source Computer Vision Library) in the project. It is a library of computer vision that is used to execute tasks related to computer vision such as face detection, objection tracking and landmark detection, and much more. It supports multiple languages like python and java C++. The aim of using this library in the project is to tackle the position of the webcam and to detect the objects.
Like other technologies, Machine learning is also used in the project by adding the concept of supervised learning to acquire more accurate conclusions in the project. The slight concept of supervised learning is defined below
Supervised learning is the concept of machine learning in which the labelled data sets are used to train algorithms in order to get more accurate predictions. In the case of a project, a bunch of images and labelled data has been trained to extract more efficiency from it.
IOT in project
There are several IOT sensors that have been used to accomplish end goals of the project. The names of all physical objects are listed beneath.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Arduino Uno | Equipment | 5 | 2000 | 10000 |
| Servo Motor | Equipment | 5 | 1200 | 6000 |
| Screen | Equipment | 1 | 30000 | 30000 |
| MLX Temperature Sensor | Equipment | 3 | 3000 | 9000 |
| Ultra sonic Sensor | Equipment | 6 | 300 | 1800 |
| Cables | Equipment | 1 | 2000 | 2000 |
| Body Structure | Equipment | 1 | 5000 | 5000 |
| Webcam | Equipment | 1 | 3000 | 3000 |
| Aluminium Sheet | Equipment | 1 | 2000 | 2000 |
| Transport | Miscellaneous | 1 | 1000 | 1000 |
| Total in (Rs) | 69800 |
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