ai projects

Augmented reality

Virtual object Fox is created through augmented reality concept. Python programming is used in this project. Fox  will come as virtual object when reference image is shown in front of camera.  

Human pose estimation using mediapipe and opencv python programming

Human pose such as hand, leg , foot and head movements are estimated in 3D. Each actions are estimated in real time through mediapipe ai concept using opencv python programming.  

 Car parking slot identification using OpenCv and python programming. 

Green color rectangular box indicates free slot. Red color rectangular box shows that car parking slot is already occupied. If any vehicle is moving away from any slot, then automatically green color indication will be shown. Python coding is used in this project. Python package used is openCV.  

 Artificial intelligence project: Volume Control without keyboard

Volume level of music played in PC will be controlled by Angle created between thumb and index finger. More angle created will increase volume level. Reduced angle will decrease volume level. Hand detection by Mediapipe concept is used in this project. This project is build by python coding. Package used  is opencv and Mediapipe.  

 Artificial intelligence project : Hand detection and finger count 

Hand is identified by Mediapipe and openCV through python programming. Number of fingers opened will be taken as count value. It will be displayed in output frame. It is a real time projects. Count value will be accurate as per the input given through finger opening / closing.  

Artificial intelligence project : Social distance analysis. 

People are identified by object classifier of python programming. Red color rectangular box shows that people are coming close to one another. Orange color indicates people are little bit away but not in safe zone. Green color indicates people away from one another and they are in safe zone. Python coding is used in this project.  

Eye movement tracking using opencv python

Eye movement is tracked continuously using opencv python programming. Left and right direction movement are tracked and it's status are updated in display in the output frame. Blinking of eye are monitored and counted for each eye blink. Visual display is there in output frame to show no of time eyes are blinked.