What is a Deep Dive?
A Deep Dive is a one-day informal problem solving session aimed at developing a workable solution for a specific problem by a group of interdisciplinary students. The Deep Dive begins with the definition of the problem, brainstorming for possible solutions, and assignment of student groups for the development of modules for the selected solution. Periodic progress meetings allow the group to share current advances or communicate current roadblocks. The Deep Dive concludes with the integration of the group's modules into a final solution.
The Deep Dive process is unique from other problem solving approaches as participants are immersed into an intense, cross-functional, and modular problem solving experience. More importantly, each participant takes on a specific task in the development of the solution, which ensures that all participants are involved in the problem solving process.
Completed Deep Dives
Deep Dive #1 - Creation of a Vision Recognition ToolDescription:
Participants in this Deep Dive created a vision recognition tool to compare the number of holes in a stamped metal part to its CAD model. A computer program was written to analyze a picture taken by a camera and count the number of holes present. This information was then compared to the geometrical data retrieved from the CAD model. A link to the video can be found here: http://www.youtube.com/watch?v=aTWQ39yyJa8
Deep Dive #2 - Creation of a Mobile Access Tool for Network DatabasesDescription: This Deep Dive focused on developing the necessary tools to allow communication between a phone application and a database through the internet. The goal was to send several data points from a phone application to a database, and have the database report the data points back to the phone. In addition, the participants also developed a website that followed the aforementioned process.
Deep Dive #3 - Creation of a Reporting and Analysis Tool for Accident Data through Database and Website Applications.Description: This Deep Dive focused on creating a tool to collect, analyze and report accident data. Participants developed a website that allowed the user to enter the accident data through a series of drop-down menus, checkboxes and text boxes. This data was then send to a SQL database using PHP code. The database recorded the data and then reported the data into a pdf form.
Deep Dive #4 - Quality Control using Cloud Data from 3D ScannerDescription: In this Deep Dive, participants created tools to utilize cloud data from a FARO 3D laser scanner for quality control purposed. A Repeatability and Reproducibility (R&R) study was conducted to ensure accuracy of the 3D laser scanner data. Measurement of sample parts were taken and compared to CAD models created during the Deep Dive.
Deep Dive #5 - VT Sustainability Competition Description:
In this Deep Dive, participants competed in the VT sustainability competition to come up with the best ideas for the reuse of wooden pallets in either full or modified form. The group decided on the concept of "room dividers" that uses pallets in full form. The submission earned the team a second price amongst the mostly architecture and design teams. http://www.imas.ise.vt.edu/News/Articles/palletoutcome.html
Deep Dive #6 - 3D Model Interaction in CAVE Environment for New Visualization of Quality Control DataDescription: In this Deep Dive, participants explored new ways of visualizing quality control data using a 3D viewing environment. CAD data from a SUV frame, was integrated with a mesh of 39 points that provided dimensional variations of that point amongst 1000 measurements. Interactivity was added to allow the user pull up a control chart for any of the 39 points in the model. In addition, the user was able to examine various parts of the model in the 10x10x9 feet theater provided by the Advanced Research Computing group in Torgerson Hall. A photo gallery can be found here.