Document Type
Honors Thesis
Abstract
Many beginner planters face difficulties in choosing suitable plants for their home environment. Our mobile application ‘PotSpot’ is designed to make this process easier. The application calculates the amount of sunlight based on the picture of the user's desired planting area at home. Once the user uploads a picture of the possible planting location and its surroundings, the device's orientation sensors help determine its geographic location. These stored pictures are then overlaid with the sun's path and converted to black and white images. Our algorithm analyses these pictures and calculates the amount of sunlight present in the area. These results are then displayed to the user, in a table and a heatmap, helping them make an informed choice in choosing a suitable plant. PotSpot application will be available on both Android and iOS platforms.
Publication Date
5-1-2021
Language
English
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Kassetty, Ashwitha, "POTSPOT: SKY DETECTION AND RESULT VISUALIZATION" (2021). 2021 Spring Honors Capstone Projects. 27.
https://mavmatrix.uta.edu/honors_spring2021/27