Mobile Vision for Citizen Science

Cai, Yang; Pokrzywinski, Kaytee; Stumpf, Richard; Cao, Shuheng; Do, Kevin

doi:10.54941/ahfe1006655

i

Mobile Vision for Citizen Science

2025
By Cai, Yang ; Pokrzywinski, Kaytee ; Stumpf, Richard ; ...

Details

Journal Title:

AHFE International
Personal Author:

Cai, Yang ; Pokrzywinski, Kaytee ; Stumpf, Richard ; Cao, Shuheng ; Do, Kevin
NOAA Program & Office:

NOS (National Ocean Service) ; NCCOS (National Centers for Coastal Ocean Science)
Description:

Rapidly growing mobile phone sensing and computing capacities create wonderful opportunities for environment monitoring and data analysis. Mobile vision combines digital cameras and machine vision algorithms on phone platforms for particular visual data analysis. We explore the phone "microscopy" with real-time machine vision computing and dynamic visual updating functions. We developed a semantic description of the shape and dynamics of the toxic algae Karenia Brevis, collected by phone that both humans and machines can understand. We also explore the system architecture of the mobile vision modules with the performance measurements.
Source:

AHFE International, 193
DOI:

https://doi.org/10.54941/ahfe1006655
ISSN:

2771-0718
Format:

PDF
Publisher:

AHFE International
Document Type:

Journal Article
Rights Information:

Other
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:021a61bcf6d696a9a672dd628586d6a3b88d677ab0a35bf717ad61222b85a24cb6360a5c1285a64b584102b2297c4baa03caba49c8ece8ef231c5479145decae
Download URL:

https://repository.library.noaa.gov/view/noaa/74021/noaa_74021_DS1.pdf
File Type:

[PDF - 1.26 MB ]

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