Project: Code Visualizer

What I learned: Programming Structure and Coding Tools

Duration: 2 months

Age: 21

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During my work at TMEIC I was challenged by large size of coding scripts. The learning curve was very steep due to their own proprietary coding language, as well as the complexity of the systems ( Typically over 50,000 lines of code ). Therefore in an attempt to better grasp the inner workings of the system I built a code visualizer for their custom coding language. My first attempt was a network graph,

Although the network graph was very artistically inspired it failed to communicate how the system operated due to the complexity. I then created a custom GUI interface that shows the code as well as the “inputs” and “outputs” . This created an intuitive understanding of how the code flowed throughout the system so I called the GUI- “Code Flow”.  Although this GUI was great for understanding the code, It did not provide a method to formally document the code for clients. Therefore I revisited the more graphic approach. I  attempted to make a flow diagram of the system.

This was promising, but too cluttered to view the entire system in one diagram. Therefore I split the diagram according to sub-processes and created a flow diagram for each one. This was visual pleasing, easy to understand, and able to be formally documented for clients.

Some of the technical aspects of this project included:

• search recursion  (for parsing 50k lines)
• Complex Python Object relationships
• Dot frame work ( flow diagram )
• Visnet framework in R ( for Network Graph )
• Tkinter library ( for GUI interface ).

Future Improvements:

• Better parsing of scripts to understand datatypes
• SQL implementation ( alot of the system is written in SQL scripts which is not currently displayed)

Project: Mechanical Robotic Arm

What I learned: Disc Cams, and Reverse Kinematics

Duration: 2 days

Age: 21

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This project focused on studying the feasibility of creating a robotic arm driven by a single motor. In industry robotic arms are often used  because they offer greater flexibility than conventional equipment. But during my work at Dennis Group I noticed clients often used robotic arms in repetitive task (but the task was still unique so a conventional approach could not be used) . Therefore I explored the idea of creating a Robotic arm that was driven by a single motor with each of its joints driven by disc cams to offer dependent differential motion. The advantages to this design would be:

• significantly reduced cost
• high IP rating due to limited complexity
• non technical maintenance

   To determine if this was feasible, I created a virtual robotic arm given the repetitive task of creating pallets from cases. I then tracked each arms motion to determine the complexity. The virtual rig seen below had to:

• Place Cases in a 3×3 Pattern after rotating the Cases
• Place Slip Sheets between Case Layers
• Place New Pallet on bottom

 

 

Plots of individual “Motors Angles” can be seen below. Note how although complex the motion is periodic and therefore suggest it would be possible to create a mechanism with a single drive.

 

 

 

Project: Wind Turbine Mass Vibration Absorber [School Project]

What I learned: Interaction of Spring Mass Dampers on Resonant Frequencies

Duration: 2 weeks

Age 20

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Click here to view report

The goal of this project was to understand the basic principles in a tuned mass damper and apply them to a real-world simulation.

Project: Drive-Thru Assist

What I learned: Hardware communication with Software

Duration: 3 months

Age 17

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During my employment at Wendy’s I found it a struggle to detect when cars came through the drive-thru. Therefore I developed a sensor and a companion app to assist me. The app in now available on the play store! The sensor communicated with your phone via serial bluetooth. Watch the following video to learn more!

 

Project: Parking App

What I learned: API Resources

Duration: 8 months

Age: 20

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This project focused on improving the efficiency of Virginia Tech Parking. The project was done in collaboration with  the Parking App VT club, which has now become a startup! Two task were undertaken in this project, firstly build a sensor to detect occupancy of parking lots, secondly build an app to interface with this data.

Sensor Research and Construction:

It was determined that the most cost effective and reliable solution to detect parking lot occupancy was to use audio detection at the entrances and exits of the parking lot. This solution was determined after careful analysis of current parking solutions on the market and previous research (More information can be found in the powerpoint attached). A sensor was designed and constructed but not fully implemented due to termination of the club project. It was planned that a machine learning model would be constructed to classify the audio data from an array of microphones on the sensor.

App:

An app built with MIT app inventor was built to interface with the collected data. The app located the best parking lot to park based on the users location and parking tag. It then showed the user a map with directions to the parking lot, a plot of the occupancy (not implemented with real data) and a live webcamera of the parking lot if available. Because the system relied on live data colleted from sensors a backend was required to handle the request. The back end was built with google spreadsheets, google forums, and googel scripts. This allowed for a reliable,fast and most importantly free back-end for handling app request.

 

Download App Here

View PowerPoint 

Project: Nickel Board

What I learned:Wood Working

Duration: 3 days

Age 18

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Quick little project to become more familiar with common wood working tools and laser cutters. Learned to work with hand planar, belt sander, jig saw, and miter saw. Computer aided design manufacturing (like 3d printers and cnc machines) are easier to be more precise but seem to limit creativity as hand tools are more difficult to manipulate and therefore force you to be more creative in designing your product.

View Video

 

 

 

Project: Build a small, precise, and accurate catapult.

What I learned: 30 minutes of fine tuning can make all the diffrence

Duration: 4-5 months

Age 17

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Project: Build an autonomous, path following robot

What I learned: Understand your constraints, and simplify

Duration: 2-3 months

Age: 16

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TechnicalReport

Project: Create a short 3D animated film

What I learned: 1 minute of film represents 30 hours of work

Duration: 1 year

Age 16

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This was my first serious attempt into 3D modeling, animation, cinematics, and editing. The story was set in a common video game that I enjoyed, “Minecraft”. A lot of the plot deals with game elements so that to those unfamiliar with the game would find the film confusing. The  3D landscape scenes were exported out of the game directly using a program “Mineways” then character animation and camera motions were created in free 3D modeling software, Blender. Originally I thought this to be a one or two month project but it quickly turned into a much longer project. There are probably at-least 200 hours of work invested in the film and another 100 invested in time consuming renders. During the first three months I animated by hand using “keyframes” but I soon learned of bvh motion capture files. Carnegie Melon released thousands of files which gave my characters much more natural and fluid motions. When I realized the huge time consuming renders I quickly learned the value of graphic cards. This helped significantly but there were many scenes that were estimated to take weeks to render! So render farms were the next solution. I set up a small render farm with about 4-5 computers. I then proceeded to attempt to try the same concept with my school computer lab with 35 computers. Although I anticipated good results they never materialized due to blocked network settings set by the school admins. After many of the scenes finished rendering they were fine tuned further with Sony Vegas Pro. Music, color correction, aspect ratio, and overlay text were all added.