Prism

Prism

A.I., CV, Safety and Security

Artificial Intelligence analyzes the content from digital cameras, captures video and instantly informs responsible staff by e-mail or mobile phones about possible unsafe actions. For example, non-use of personal protection equipment or access to restricted or dangerous areas.

Role

Role

In Prism, I acted as the lead product designer, working on the conceptualization and design of an AI-powered surveillance system. My role involved creating interfaces for industrial users to monitor and act on real-time AI-generated insights. I worked on streamlining complex datasets into comprehensible visuals, while also ensuring the system’s interface complied with safety protocols and industry standards. I played a key role in the design system implementation, focusing on user experience and responsive design for different device formats.

Scope

Scope

  • Product Discovery

  • MVP Production

  • Implementation on Premisses

  • User Testing: A/B, Surveys, Interviews, Field Study

Duration

Duration

12 Months

Problem Statement

Problem Statement

 Industrial clients needed an intuitive solution to handle real-time alerts and extract actionable insights from complex AI-driven data.

Approach

Approach

AI and UX Integration: Collaborated with AI engineers to transform complex data outputs into actionable, simplified notifications.

Scalable Design Systems: Developed a modular UI system to allow easy integration of new features and data visualization tools.

User Testing: Conducted field tests with safety managers, optimizing the interface for industrial settings.

Outcome: Enhanced safety protocols and reduced industrial accidents due to improved real-time monitoring and alerts.

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