https://www.figma.com/proto/CPRv8AgMip7z9EXdcLEq5I/Dock?page-id=1%3A2&node-id=54-4073&node-type=frame&viewport=71%2C224%2C0.02&t=8M2jClZV47hkxBZs-1&scaling=scale-down&content-scaling=fixed&starting-point-node-id=54%3A4067

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Goal of the Problem Statement:

  1. Seamless Fleet Management:

    Enable security teams to efficiently schedule, monitor, and manage the autonomous patrols of multiple drones across different city zones.

  2. Real-time Situational Awareness:

    Provide live video feeds and telemetry data from all active drones, ensuring continuous monitoring and enhanced visibility of critical infrastructure and public spaces.

  3. AI-Driven Alert System:

    Utilize AI to detect suspicious activities, security breaches, or emergencies, generating instant alerts for proactive security responses.

  4. Integrated Control Flexibility:

    Allow seamless switching between automated and manual drone operations, giving operators full control when necessary.

  5. Emergency Response Optimization:

    Ensure drones can autonomously deploy in response to emergencies and provide on-ground teams with immediate situational insights.

  6. Centralized, User-Friendly Interface:

    Design a interface that simplifies complex drone operations, empowering security teams with intuitive tools to manage the city's drone network effectively.

    Project Overview

    "Dock" is a web application designed to streamline the management of autonomous drone operations within smart cities. The system supports drone flights, patrolling, identification of suspicious activities, and management of drone docking stations. It offers an intuitive, UX/UI-friendly interface tailored for security teams and patrolling units to monitor and respond to potential security threats across the city efficiently. With the rise of Drone-in-a-Box (DiaB) technology, this solution ensures smooth operations, enhanced situational awareness, and real-time responsiveness.

    Key Features and Functionalities

    1. Autonomous Drone Fleet Management
      • Schedule, monitor, and oversee autonomous patrols across multiple city zones.
      • Assign patrol routes and monitor drones on their flight paths with real-time telemetry data.
    2. Docking Station Management
      • Manage dock stations placed across the city for charging, storage, and maintenance.
      • Monitor station status to ensure availability and smooth drone operations.
    3. Live Monitoring and Alerts
      • Access real-time video feeds from multiple drones to maintain comprehensive situational awareness.
      • View telemetry data, including speed, altitude, battery status, and environmental conditions.
    4. AI-Driven Suspicious Activity Detection
      • Detect unusual activities or security breaches using onboard AI models.
      • Receive instant alerts and notifications for emergencies or potential threats.
    5. Seamless Manual Control and Override
      • Switch between automated and manual drone control whenever needed.
      • Provide manual assistance in emergencies or complex scenarios requiring direct human input.
    6. Incident Management and Reporting
      • Log incidents detected by drones and generate automated reports for security teams.
      • Track the response status of incidents, ensuring accountability and swift action.

My Role

Wireframes