Muhammad Taha Suhail

Academic

Career

Verbatim text

VisualCircuit 
VisualCircuit allows users to program robotic intelligence using a visual language application. Users 
can follow the same design approach (connected blocks, dataflows) as FPGA programmers and 
synthesize the circuit into a Python application. It follows this divide and conquer approach in 
programming applications related to robotics, deep learning and computer vision. Each block is 
considered as separate and functional part of the system which is running independently at fast 
iterations. The modular design helps the user to think in terms of blocks running concurrently which 
can then be easily connected using wires which act as shared memory. This tool allows the user to 
think and produce more effective applications, reduce development time and experiment with 
more 
solutions 
in 
a 
short 
period 
of 
time. 
Features include: 
- Block frequency monitoring and control. 
- Enable/Disable wires for dynamic reconfiguration of the circuit. 
- Block composition. 
- User defined blocks, editable code and parameters support.  
- 50+ blocks related to computer vision, deep learning and robotics. 
- 3 Gazebo simulations demonstrating VisualCircuit to program reactive robot behaviors. 
- Cross Platform: Windows, MacOS, Linux. 
 
 
 
 
 
 
Technology Used: 
Python, AngularJS, NodeJS, ROS, Gazebo, 
 OpenCV, Tensorflow, Electron 
Supervisor & Co-Supervisor Names: 
                                        Dr. Atif Jillani 
                                          Jose Maria Canas 
Group Members:   
Muhammad Taha Suhail (i17 - 0045) 
Faizan Ahmed (i17 - 0275) 
Humaiz Tariq (i16 - 0133)

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