3D Nozzle Spray Pattern Analysis Tool

Partner: Lechler

Domains: Computer Vision, Software Development

Project Overview: 
The project aims to develop a tool that measures the amount of water reaching any point (x, y) of a nozzle spray per unit time using a patternator. The goal is to analyze the spray pattern distribution accurately and generate a 3-D representation of the water spray pattern at a specific height which will help in further experimentation of the patterns and client verification.

Roles: 1 software development position

Stipend: Paid project

Project Duration: 2 months (with a possible extension)

Tasks/Deliverables:

1. Prepare SOPs for the operation and handover of Patternator v1.
2. Develop a module for generating 3D plots.
3. Implement the GUI/software front-end.
4. Implement a good computer vision algorithm.
5. Integrate image processing algorithm, graph module, and GUI/software.
6. Release the alpha version, including assistance in gathering spray patterns and incorporating feedback for the beta version release.
    

Submission Link: https://forms.gle/DrGsnaNdQcjVQxCA8

Deadline: 11:59 PM, 19th April, 2024

To enroll for the project, you must fill out the form above. For further credit, you can attempt and submit the assignment below to the best of your abilities, taking the aid of any tools online. We will contact you personally if you are shortlisted for the interview.

(Optional) Assignment:
Your task is to develop a script which produces a best fit cone, when provided with 3D data points. To do so-

• Data Preparation: Using the parametric equation of a cone, generate 1000 points which lie on the cone
• Noise addition: Add a gaussian noise to your data
• Find the best-fit cone parameters, either using scipy or MATLAB
• Using plotly or any 3D plotter of your choice, plot the best fit cone and the noisy data points in the same image
• (Bonus) How good is your fit?

For assignment queries, contact:

Email: satyamm435@gmail.com

Phone: 9324865787