Skip to content
V

Vaidhya vahika

we are proposing a robot which can be used in hospitals and quarantine centres. This robot can be used do diagnosis, prognosis tasks and also as a food and medicine transporter inside the hospital.

Created on 8th May 2020

V

Vaidhya vahika

we are proposing a robot which can be used in hospitals and quarantine centres. This robot can be used do diagnosis, prognosis tasks and also as a food and medicine transporter inside the hospital.

The problem Vaidhya vahika solves

In this accidental situation of covid-19 ,Doctors are the only people who can help us in this situations.
But due This highly transmissible nature of disease we are not able predict whom the disease affects .
For this we are proposing a robot which can be used in hospitals and quarantine centres .
This robot can be used do diagnosis,prognosis tasks and also used as the food and medicine transporter inside the hospitals.
The AI application help doctor to prognosis test without there intervention .
The inbuilt iot system will help doctors to transfer food via the robot ,reducing the risk of health and janitorial staff .
This request can be done by using app and websites via IOT.

This robot design was completely divided into two parts
They are:-
1) Robo as food and medicine carrier.
2)Robo as prognosis tasker.

IOT and line following transporter

There will a be app and website provided to the all people who was affected and quarantined in hospital.
When they need any particular medicine they can ask it via the app or the website.
When the robot receives this message then it activates,the doctor or the caretakers also receives this and keeps the respective needed things on the robot.
By using the line following technique and mapping algorithm ,robot delivers the things to the patient .
The camera and siren on the robot helps to detect groupings inside the hospital and avoids spreading disease.

AI Diagnosis and Prognosis

The bot measures the NEWS score of the patient by using various sensors.
The risk score is used for the medical prognosis .
Various AI algorithms like decision trees with random forests are used for classification of the patients.
Survival models are then used to predict the death and survival rates of the patients.
This can be done by moving robot to patient room .This can be done by mapping and line following algorithms.

Challenges we ran into

the project in theory may not have many hurdles but when we try to implement this and ue it in real world there are many thing we need to take care of

  1. we had issues with the battery as many eletronics and motor devices are clubed into single unit so we need keep good battery.
    2)The noise and distractions in the floors will defineitely distrub this robot path , due to this we implemented he line followng technique this approximates the distances.
    3)The real techniques that are implemented on camera may not work because of the the light issues. so we have to take care of this by providing the night vision camera

Discussion

Builders also viewed

See more projects on Devfolio