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Nurse Robot
Agenda
Team
Members
- Aya Mostafa El-Khyatt
- Ghada Gamal Abd El-Maksoud
- Omnia Hamdy Abd El-Aziz
- Raghad Khaled Eid
- Rahaf Mohamed Helmy
Project Supervisor
Dr.Mohamed Marey
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AGENDA
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01
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Introduction
• Problem
• Motivation
• Solving Problem
Related Work
Problem to be solved
• Problem to be solved
System Design
• System Architecture
Tools
•Tools
System Analysis
• Functional Requirements
• Non-Functional Requirements
Time Plan
- Gantt Chart
Conclusion
- References
- END
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03
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Introduction
Motivation
Motivation
Robots will change better our lives in the future?
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Motivation
Why nurse ROBOT?
- Not susceptible to infection .
- Cost-effective .
- Available all the time ( for patient ) .
- More accurate and high quality work.
- Save Nurses from performing dangerous tasks like work in poor lighting, toxic chemical .
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Problem
Problem
- Affected by stress
- Medical Mistake
- dishonesty
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Objectives
Solving problem
Objectives
Objectives
- Robot is going to work in nutrition clinic for patients having Cancer.
- See patient’s data (weight ,disease state ,..).
- Suggest a suitable diet , Exclude unsuitable items of food.
- Give some advice regarding nutrition.
- Robot will communicate with patients.
- Robot will perform specific function regarding to doctor’s orders.
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Related Work
Dinsow[1]
- Elderly always stay in sight with real-time monitoring
- Brain Exercise
- Medication Alert and Notification
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MOXI[2]
- Gathering supplies and bringing them to patient rooms, delivering lab samples, and removing soiled linen bags.
- Automation helps hospitals maintain consistent care workflows and gives staff more time for patient care.
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Riba[3]
- Riba can carry heavy patients so others don't have a hard time lifting them.
- It can carry you around the hospital to where you need to go
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Pepper[4]
- Robot Pepper can work in a more clinical way .
- Helping to triage needs.
- Schedule appointments.
- Provide patient education.
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Paro[5]
- Is helping lonely and inactive elderly patients with mood.
- Has touched sensors that allow the patients to interact with the robot and feel relaxation.
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Problem to be solved
Problem to be solved
- Nurse need to communicate with patients, doctors and nurses .
So ..
We should use speech understanding feature like speech recognition[6.
communicate
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- Nurse should recognize doctor , patient and nurses .
So ..
Face recognition[7] is a must in
this case
Recognition
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- Nurse have to read patient medical report .
So ..
We use OCR[8] technique to this problem .
Read
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- Nurse need to move
So ..
We need motion planning ,
color sensor [9].
Move
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- Nurse should call doctor in emergency situation .
So ..
We use call mobile using GSM[10] .
Call
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System Analysis
System Analysis
Functional Requirements
Communicate With
Patients and Doctors
Reading Medical Report
Recognize Patients
and Doctors
Detect Object
Calling the Doctor
Recommend nutrition
for patients having cancer
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Use Case :
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Non
Functional Requirements
Non-Functional Requirements
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System Design
System
Architecture
System
Architecture
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Tools
Tools
Software
Software Tools
- dlib
- face recognition
- Cmake
- pytesseract
- contours
- Python3
- Keras
- Opencv
- Tensorflow
- Numpy
- Python-speech-features
- Yolo
- H5py
- RX
- Matplotlib
- Re
- Time
- Ruby gems
- raspbian
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Hardware
Hardware Tools
1- Raspberry pi 3 : as a single board computer for controlling hardware parts.
2- DC motors : for robot moving.
3- DC Motor Driver : to control motors speed and direction.
4- motor encoder : to control motor's shaft angular position.
5- Laser Sensor : to help robot to avoid obstacles during its moving.
6- Color Sensor : to help robot to track colors lines.
7- Caster Wheel.
8- wheel 4 inch.
9- Webcam Camera : to perform OCR Object detection, Face recognition, ..etc.
10- Arm robot : for grasping objects.
11- Kinect sensor : to build more realistic model of the environment.
12- Temperature sensor : to measure body temperature.
13- Heart rate sensor : to measure blood pressure.
14- Usb microphone : to capture voices.
15- Usb speaker : for robot’s voice.
16- GSM : for calling mobiles and sending sms.
17- Battery: as a power source.
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Time Plan
Time
Plan
Time Plan Chart
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Time Plan Chart
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Time Plan Chart
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Time Plan Chart
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Time Plan Chart
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END
conclusion
References
References
[1]-https://www.google.com/url?sa=t&source=web&rct=j&url=https://www.aarpinternational.org/resources/global-innovations/dinsow&ved=2ahUKEwi03_bT-pzmAhWPkhQKHf-CCiYQFjAEegQIAxAB&usg=AOvVaw2_J1iUqGiUVrgfzB1zz8wf
[2]-https://www.google.com/url?sa=t&source=web&rct=j&url=https://diligentrobots.com/moxi&ved=2ahUKEwiZoOH89pzmAhU8AGMBHb6JCLIQFjAFegQIARAB&usg=AOvVaw2vZw87GYCYzp8gEbiJKb_e&cshid=1575494686933
https://www.google.com/url?sa=t&source=web&rct=j&url=https://www.fastcompany.com/90372204/a-hospital-introduced-a-robot-to-help-nurses-they-didnt-expect-it-to-be-so-popular&ved=2ahUKEwiZoOH89pzmAhU8AGMBHb6JCLIQFjAHegQIBRAB&usg=AOvVaw1IMkKZ9uhH2TfmlcPWXOtV&cshid=1575494686933
[3]-https://www.google.com/url?sa=t&source=web&rct=j&url=http://www.roboticstoday.com/robots/riba&ved=2ahUKEwjym8vR95zmAhVZDWMBHcXADwgQFjANegQIDRAy&usg=AOvVaw2p8IDhkrXWLs-0GpIcjz7a
[4]-https://www.softbankrobotics.com/emea/en/pepper
[5]-http://www.parorobots.com/
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References
[6]-Bristow, Geoff, ed. Electronic speech recognition: techniques, technology and applications. London: Collins, 1986.
Bristow, G. (Ed.). (1986). Electronic speech recognition: techniques, technology and applications. London: Collins
[7]-Turk, Matthew A., and Alex P. Pentland. "Face recognition using eigenfaces." Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, 1991.
Turk, M. A., & Pentland, A. P. (1991, June). Face recognition using eigenfaces. In Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 586-591). IEEE.
Turk, Matthew A., and Alex P. Pentland. "Face recognition using eigenfaces." In Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 586-591. IEEE, 1991.
[8]-Sato, Toshio, et al. "Video OCR: indexing digital news libraries by recognition of superimposed captions." Multimedia Systems 7.5 (1999): 385-395.
Patel, C., Patel, A., & Patel, D. (2012). Optical character recognition by open source OCR tool tesseract: A case study. International Journal of Computer Applications, 55(10), 50-56.
Patel, Chirag, Atul Patel, and Dharmendra Patel. "Optical character recognition by open source OCR tool tesseract: A case study." International Journal of Computer Applications 55, no. 10 (2012): 50-56.
[9]-Viola, Paul, and Michael Jones. "Robust real-time object detection." International journal of computer vision 4.34-47 (2001): 4.
Viola, P., & Jones, M. (2001). Robust real-time object detection. International journal of computer vision, 4(34-47), 4.
Viola, Paul, and Michael Jones. "Robust real-time object detection." International journal of computer vision 4, no. 34-47 (2001): 4.
[10]-Mouly, Michel, Marie-Bernadette Pautet, and Thomas Foreword By-Haug. The GSM system for mobile communications. Telecom publishing, 1992.
Mouly, M., Pautet, M. B., & Foreword By-Haug, T. (1992). The GSM system for mobile communications. Telecom publishing.
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END
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