Cross Camera Tracking
UX DESIGN | UI DESIGN | UX RESEARCH
Develop a seamless cross- camera tracking experience that enhances the ability to monitor, track, and analyze the movement of individuals across multiple camera feeds.
Role
UX Designer, UI Designer
Team
1 Designer (Me), 1 PMs, 2 Engineers, 1 UX Researcher
Industry
IOT Security, Enterprise
Tools
Figma, Adobe Premiere, After Effects, Miro
Duration of Project
3 Months
Project Overview
During an investigation, it's important for surveillance operators to piece together everything that happened, including events thattranspired before the incident took place. Surveillance operators are usually interested to know: who the person of interest is (POI), when they arrived at the establishment, where they went on- site, and when they left.
Target User Outcomes
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Improved Efficiency - Users can quickly conduct searches across multiple cameras without needing to switch views manually
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Enhanced Accuracy - Users can reliably identify and track POIs with high accuracy.
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Streamlined Workflow - Users have a seamless experience from identifying a POI to tracking their movement across cameras.
Specific Goals
Increased Security Efficiency, Improved User Satisfaction, Reduction in customer
requests
Key Metrics
Increase NPS, increase in adoption rate.
Discovery and UX Project Brief
In the Discovery Phase, I focus on exploring and gathering insights to create a foundation for data-driven design decisions, specifically aimed at simplifying the onboarding process and minimizing user friction.
Key Activities:
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Goals and Outcomes: Understand objectives, business value and project scope.
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Competitive Analysis: Identify key competitive and comparative applications to review best practices, common interactions and design principles.
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Identify Users and Problems to Solve: Observing users in real-world settings to understand the contexts in which they onboard and interact with data sources. Define key tasks and use cases.
The Personas
‘We are the first line of support fornetworking issues and security incidents.’
Charlie
Responder
‘We quarantine threats and investigate the why, what and when to resolve problems and prevent future ones.’
Ricardo
Investigator
Once the team identified the target personas, we needed to gain a deeper understanding of how each persona would interact with the app. This process was crucial in mapping out the customer journeys for each persona, allowing us to design optimal experiences and address areas of overlap effectively.
User Flows
This was our opportunity to assign personas to flows and understand their journey from a single camera perspective.
Ideating The Experience
In the Ideation Phase, creativity is at the forefront as I explore a range of solutions to streamline the onboarding experience and minimize user friction. This phase involves ideation, prototyping, and iterative testing, allowing us to experiment with various approaches and refine them based on user feedback.
Key Activities:
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Wireframing: Creating low-fidelity sketches that outline potential structures and layouts for the onboarding process.
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Prototyping: Developing interactive models to test onboarding concepts and gather early user feedback.
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Design Critiques: Collaborating with team members to review and improve onboarding design solutions.
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Usability Testing: Conducting tests with real users to identify usability challenges and find opportunities to improve the onboarding flow.
Wires - Single Camera Search
The new cross camera tracking experience will cut my investigations way down! And I can quickly share with security teams. Can we have it now?
Cisco Meraki MV - Biggest Customer
Prototype: Phase 1
Improved Operational Efficiency
Enabled surveillance operators to quickly track persons of interest across multiple camera feeds, reducing manual effort and accelerating incident investigations.
Enhanced Situational Awareness
Minimized security blind spots by providing a comprehensive, cross-camera view of events, helping users identify and respond to potential threats faster and more accurately.
Streamlined User Experience
Delivered a seamless workflow from search to tracking and export, improving user satisfaction, adoption rates, and overall confidence in the system.
The Final Impact
What Next?
While I led the design of the first release, our team also explored how the product could evolve in subsequent phases. We defined a vision that expands the scope from foundational monitoring into a more intelligent, actionable, and connected investigation platform.
Scope for the next phase included:
AI-Driven Next Steps
Introduce opinionated, agentic AI that provides clear recommendations once an event or suspicious activity is detected. This guidance can help operators quickly assess severity and either take immediate automated action or follow suggested workflows.
Optimized for Investigation
Extend beyond detection into streamlined investigations. This includes prioritization through built-in case management, advanced alerting, and an enriched video monitoring interface with granular controls, search, and filtering capabilities.
Integrations for Efficiency
Expand the Vision Application ecosystem by enabling seamless integrations with external monitoring, incident response, and collaboration tools—ensuring teams can share context and act without switching systems.