Maryam Ki Dastak
Public Service Delivery Platform
2023
City Watch
City Watch introduced a smarter way to manage public safety during high-risk events. By combining AI-powered surveillance with responsive design, the system helped identify stolen vehicles, streamline deployments, and improve coordination across teams. Its above-average usability score (78.25 SUS) confirmed its effectiveness in real-world security operations.
- CLIENT Punjab Safe Cities Authority
- YEAR 2022
- CATEGORY Security Ops dashboard
- Case Study View on Behance
RESEARCH
Design decisions were shaped by direct input from field teams and operational leads. Surveys, persona mapping, and structured exercises revealed gaps in navigation, task flow, and situational awareness. These insights guided early wireframes and helped prioritize features that mattered most in high-pressure scenarios.
DESIGN
The interface was crafted to support rapid action—whether tracking vehicles, deploying teams, or logging incidents. High-fidelity prototypes integrated Facial Recognition, ANPR, and live map views, while the dashboard was tailored for clarity and speed. Every component was tested against real workflows to ensure it could handle the pace and complexity of live operations.
Testing
Usability was measured through structured evaluations and hands-on feedback from stakeholders. Iterative refinements focused on simplifying navigation, improving feature visibility, and aligning the system with actual field behavior. The final product delivered a smooth, intuitive experience that held up under pressure and earned trust from its users.
CONCEPT
The system was built to support fast, informed decision-making in complex environments. Instead of relying on fragmented tools, City Watch offered a unified interface for monitoring, communication, and resource management. The goal was to give security teams the clarity and control they need to respond confidently and efficiently.
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