  There are few industries which use manually controlled robots for carrying
material and this cannot be used all the time in all the places. So, it is very
tranquil to have robots which can follow a specific human by following the
unique coloured object held by that person. So, we propose a robotic system
which uses robot vision and deep learning to get the required linear and
angular velocities which are {\nu} and {\omega}, respectively. Which in turn
makes the robot to avoid obstacles when following the unique coloured object
held by the human. The novel methodology that we are proposing is accurate in
detecting the position of the unique coloured object in any kind of lighting
and tells us the horizontal pixel value where the robot is present and also
tells if the object is close to or far from the robot. Moreover, the artificial
neural networks that we have used in this problem gave us a meagre error in
linear and angular velocity prediction and the PI controller which was used to
control the linear and angular velocities, which in turn controls the position
of the robot gave us impressive results and this methodology outperforms all
other methodologies.
