The Mechanism of Work of the Arm Robot

Oct 13, 2025 by recoveryshake.com 58 views

Introduction

The COVID-19 pandemic has brought about unprecedented challenges to public health worldwide. In an effort to slow down the spread of the virus, governments and health organizations have implemented various health protocols, including the use of masks. However, despite the importance of wearing masks, many people still experience obstacles in using them appropriately. This is where an effective supervision system comes into play, ensuring that each individual complies with this protocol. This study proposes an innovative system that utilizes robotics technology to identify whether visitors use masks or not, and automatically share masks with those who are detected not wearing them.

The Technology Used

The proposed system utilizes two advanced technologies: Haar Cascade Classifier algorithms and Support Vector Machine (SVM). Haar Cascade Classifier algorithms are widely known in the world of image processing for facial detection, while SVM is an effective machine learning algorithm in classification. The combination of these two technologies allows the system to provide good accuracy in detecting the use of masks. The Haar Cascade Classifier algorithm is used to detect user faces, while the SVM algorithm is used to classify whether the user is wearing a mask or not.

The Mechanism of Work of the Arm Robot

The arm robot used in this study is Mycobot-Pi, based on Raspberry Pi. The advantage of Mycobot-Pi is its ability to operate with minimalist device specifications, so that it can be implemented in various environments. With the support of suction pump, this robot can automatically share masks to users who are detected not wearing masks. This process is not only fast, but also reduces physical contact, which is important in the context of pandemic. The Mycobot-Pi robot is equipped with a suction pump that can pick up masks from a designated area and share them with users who need them.

Research Result

In trials conducted with 41 case samples, the system succeeded in detecting the use of masks with a fairly good accuracy, where 29 out of 41 cases were detected appropriately. This shows that the system has a significant potential to help supervise and prevent the spread of COVID-19. The results of the trial indicate that the system is effective in detecting the use of masks, and the accuracy of the system is high enough to be used in real-world applications.

Mask Packaging Recommendations

In addition to the detection system, this research also provides recommendations regarding the right mask packaging. Plastic Sheet PP Protector proven to be the most effective as a mask packaging, because this packaging can be carried by the suction pump well. This is certainly important to ensure that the mask that is shared remains clean and safe to use. The use of plastic sheet PP protector as mask packaging is recommended because it is easy to carry and can be used by the suction pump to pick up masks.

Conclusion

Innovation in the application of robotics technology for supervision of the use of this mask shows a step forward in an effort to maintain public health during Pandemi Covid-19. By combining sophisticated algorithms and efficient hardware, this system not only increases public compliance with health protocols, but also offers practical solutions that can be implemented in various locations. It is hoped that this research can be a reference for further development in preventing the spread of viruses and maintaining general public health.

Future Work

Future work can focus on improving the accuracy of the detection system, as well as expanding the system to detect other health protocols, such as social distancing. Additionally, the system can be improved to provide real-time feedback to users, such as displaying a message on a screen or sending a notification to a user's phone. The system can also be expanded to include other features, such as temperature scanning or hand sanitizer dispensing.

Limitations

The system has some limitations, including the need for a power source and the potential for technical issues with the suction pump. Additionally, the system may not be effective in detecting users who are wearing masks that are not visible, such as masks with a clear plastic window. However, these limitations can be addressed through further development and refinement of the system.

Conclusion

In conclusion, the proposed system is an innovative solution to the problem of supervising the use of masks during the COVID-19 pandemic. By utilizing advanced technologies such as Haar Cascade Classifier algorithms and SVM, the system can detect the use of masks with high accuracy and provide practical solutions to users who are not wearing masks. The system has the potential to be implemented in various locations, including public spaces, schools, and workplaces, and can be a valuable tool in preventing the spread of COVID-19.

Q: What is the main purpose of the proposed system?

A: The main purpose of the proposed system is to detect whether visitors use masks or not, and automatically share masks with those who are detected not wearing them.

Q: How does the system detect the use of masks?

A: The system uses Haar Cascade Classifier algorithms and Support Vector Machine (SVM) to detect user faces and classify whether they use masks. The Haar Cascade Classifier algorithm is used to detect user faces, while the SVM algorithm is used to classify whether the user is wearing a mask or not.

Q: What is the advantage of using Mycobot-Pi as the arm robot?

A: The advantage of using Mycobot-Pi is its ability to operate with minimalist device specifications, so that it can be implemented in various environments. With the support of suction pump, this robot can automatically share masks to users who are detected not wearing masks.

Q: How accurate is the system in detecting the use of masks?

A: In trials conducted with 41 case samples, the system succeeded in detecting the use of masks with a fairly good accuracy, where 29 out of 41 cases were detected appropriately.

Q: What is the recommended mask packaging?

A: Plastic Sheet PP Protector is recommended as the most effective mask packaging, because this packaging can be carried by the suction pump well.

Q: Can the system be used in real-world applications?

A: Yes, the system has the potential to be implemented in various locations, including public spaces, schools, and workplaces, and can be a valuable tool in preventing the spread of COVID-19.

Q: What are the limitations of the system?

A: The system has some limitations, including the need for a power source and the potential for technical issues with the suction pump. Additionally, the system may not be effective in detecting users who are wearing masks that are not visible, such as masks with a clear plastic window.

Q: Can the system be improved?

A: Yes, future work can focus on improving the accuracy of the detection system, as well as expanding the system to detect other health protocols, such as social distancing.

Q: How can the system be implemented in various locations?

A: The system can be implemented in various locations by installing the necessary hardware and software, and training the system to detect the use of masks in different environments.

Q: What are the benefits of using the proposed system?

A: The benefits of using the proposed system include increased public compliance with health protocols, reduced physical contact, and improved public health.

Q: Can the system be used to detect other health protocols?

A: Yes, the system can be expanded to detect other health protocols, such as social distancing, by incorporating additional sensors and algorithms.

Q: How can the system be maintained and updated?

A: The system can be maintained and updated by regularly checking and replacing the hardware and software, and updating the algorithms to improve the accuracy of the detection system.

Q: What are the potential risks of using the proposed system?

A: The potential risks of using the proposed system include technical issues with the suction pump, and the potential for users to become complacent and not follow health protocols.

Q: How can the system be used to improve public health?

A: The system can be used to improve public health by increasing public compliance with health protocols, reducing physical contact, and providing real-time feedback to users.