In 2021 Human Rights First sponsored SurvAI, an AI based web application that could detect violent objects and items in videos using computer vision.
I was brought on to do research with users, redesign the application to be based around user needs, and solve design challenges for visualizing AI data.
I later rebranded the tool to Glimpse to help secure funding for future development.
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Platform
Desktop Application
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Organization
Human Rights First
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Sector
Civic Tech
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Timeline
Q3 2021 - Q1 2023
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Role
UX & Product Designer
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Tools Used
Figma Adobe Illustrator Google Drive Notion Asana
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Responsibilities
Project Discovery Plan & Facilitate User Research Validate User Needs Market Research Define Requirements Stakeholder Management Branding Logo Design UI Design UX Architecture Prototyping QA Testing
Full Case Study Coming Soon...
In the mean time, please enjoy a gallery of screen shots and mockups from this project instead.
Glimpse uses Computer Vision AI to detect and quantify Actions and Objects in videos. You can filter by tags to find videos interest more easily.
Use custom tags to organize videos in your project.
Action and Object detections are visualized on the video track. Use detections to quickly find important moments.
Use the separate desktop application for uploading large video collections in the background.
Organize uploads into projects.
Work through the haystack of large video projects by sorting with the fields that matter most to you.
Control the columns on the sorting table.
Glimpse is secured by 2-Factor Authentication
Search FAQs, get help, and report problems with ease.
