Our project is hospital assistive robot to over take some areas of medical science and to enhance accuracy along with avoiding medication errors like omission of wrong dose. Moreover, our project has also some additional features to synchronize with this modern era, these features include audio vide
Mobile IoT based Smart Hospital Automaton
Our project is hospital assistive robot to over take some areas of medical science and to enhance accuracy along with avoiding medication errors like omission of wrong dose. Moreover, our project has also some additional features to synchronize with this modern era, these features include audio video chat, facial recognition, smart band, and payload delivery.
Medication errors are the leading causes of avoidable patient harm in the health care system across the world. Medication administration errors are the most common types of medication errors posing dangerous consequences for patients, health professionals and health institutions. The administration of medications is primarily the nurse’s responsibility, on which spend up to 40% of their time on administering medications. Inadequate staff members and negligence of nurses can cause big risk to patients’ life. The types of medical administration errors include wrong dose, wrong time, wrong drug, wrong route, omission of doses, wrong patient, lack of documentation, and technical errors. To solve this problem, we need a mobile solution that delivers medicine to the patient with greater accuracy than humans.
Patient health care, prevention of diseases and to prevent the disruption of their duties in the service areas of health workers in hospitals, in addition to real-time health monitoring system makes drug delivery nurse / staff nurse robot model was developed. These models study, using voice transmission made intelligent robot kit using Bluetooth module is running concurrently with the nurses made a robot design. This design will start to work with the perception of the nurse's voice command. Task, after the command log data (for which patients, which room, which drug, which is an hour and so on.) Is held by reading the file will distribute medicines to patients.
Our project, MISHA seeks to alleviate this issue via reducing the burden on healthcare workers by handling the delivery of medicine to the patients and of medical equipment to other healthcare workers and providing remote access of the patients’ data.
Our project is a hospital assistive robot based on an application of a line following robot. A line following robot is a robot which is capable of following a path that is predefined by a line on the ground. It would be used to perform the delivery of medicine and other medical equipment, hence automating the task in hospitals, while avoiding any obstacles in its path. The robot would be linked to an application for monitoring the patient’s health and for setting the destination for payload delivery. Additional features would include facial and speech recognition to help in assessing the correct patient, hands-free input from doctors and for voice chat between the patient/patient’s family and the doctor. Also, the data collection (temperature, heart rate etc.) would be done from a smart band on the patient as part of the healthcare system to help aid in monitoring.
This project has the advantages of being a fast service, having 24x7 availability, increased reliability and greater efficiency. This payload delivery, monitoring and alert system may help humans by saving the lives of accident victims.
Our project involves using a LFR as a base for the robot to enable payload delivery (medicine and/or other medical equipment). Facial recognition would be used to ensure that the medicine provided to the patient matches with whom the doctor prescribed it to. Speech recognition would be used to enable hands-free input of prescriptions and Text to Speech would be used to help aid visually impaired patients. Video calling capabilities between the doctor and the patient/patient’s family through the robot are included. A band would be used on the patient for monitoring (temperature, heart rate, etc.) purposes in conjunction with the LFR robot to make up an IoT-based healthcare system.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| NodeMCU IoT-Development Board | Equipment | 4 | 1100 | 4400 |
| MAX30102 Heart Rate Sensor Pulse Detection Blood Oxygen Concentration | Equipment | 1 | 800 | 800 |
| MAX30100 Pulse Oximeter and Heart-Rate Sensor IC | Equipment | 1 | 380 | 380 |
| Heart Beat Sensor | Equipment | 1 | 350 | 350 |
| Robot Smart Car Wheel Tyre | Equipment | 4 | 1000 | 4000 |
| 12V DC Gear Motors | Equipment | 4 | 1000 | 4000 |
| Espressif ESP32 WROOM 32D Development Board | Equipment | 2 | 1100 | 2200 |
| Windows Tablet | Equipment | 1 | 20000 | 20000 |
| CD-ROM | Miscellaneous | 1 | 4000 | 4000 |
| PVC Foam Board | Miscellaneous | 1 | 3000 | 3000 |
| Metal Frame | Equipment | 1 | 5000 | 5000 |
| 12V VOLTA Rechargeable Battery | Equipment | 1 | 2500 | 2500 |
| DS18B20 1-Wire Digital Temperature Sensor | Equipment | 2 | 200 | 400 |
| Total in (Rs) | 51030 |
A system developed to capture human motion joints including some extra ArUco markers as jo...
The project started with the simple idea, ?What if Lays crisps we...
With the passage of time, Multi DOF manipulators have become the core attention of robotic...
Pregnancy is associated with a lot of changes in physical, psychological, and social chang...
This project is a platform for the students finding the best teacher for them and also hel...