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Idea - FICS

conscious robots

Team and Contact Details

Student Name School Degree Year Email
Jaffar Ali ChaudharyFOITUndergraduateFourth[email protected]
Hafiza Hajrah RehmanFOITUndergraduateFourth[email protected]
MARWA NAWAZFOITUndergraduateFourth[email protected]

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: conscious robots
Slogan: Neural Network for Pedestrians Detection with Danger Estimation
Supervisor Name: Dr. Farhan Dawood
Supervisor Designation: Assistant Professor
Supervisor School: Other
Supervisor Department: FOIT
Contact number: 03175621705
Email ID: [email protected]
Abstract:
    A deep Neural Model for Robots being used in urban public spaces to detect pedestrians and obstacles with danger estimation in a low computational cost that will address all the features possessed by predicted target that can cause collision.
What is the unmet need in society that your idea will fulfill ?
    Robots are not being used in urban public areas of our country. But If we are going to introduce them soon, then this will be a very helpful project.
Who needs it ? How many would benefit ?
   This model is useful to enable the robots to perceive environment easily. Emerging Robotics Companies in Pakistan can use our model to introduce in there projects. We can Introduce Robots in our public spaces especially in five star hotels and restaurants where this model will be very useful.
How will the solution works
    It would be a Deep learning model that would be specifically designed for autonomous machines or robots operating in urban environments where they may interact with humans or obstacles .Firstly, our model will predict the relative speed, position, body orientation and actions of upcoming pedestrian or obstacle and then will use these features to estimate the danger it possesses and will let the machine take actions for its safety accordingly.
Who are your competitors ? How is your solution different
    Our solution has low computational cost and more accuracy as compared to the one that have developed till now as we are going to use most efficient ways to find out more pedestrians features and so the result will be more accurate. We are not using any hardware devices for detection in our model.
Status: new
Entry Date & Time: 2022-12-30 (1111)