PulseQ

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🧠 PulseQ: Revolutionizing Queues and Public Safety with AI

🚀 Inspiration

Long queues are more than a mere inconvenience—they're a real public issue. We've seen patients fainting in hospital lines, customers growing anxious in banks, and even people missing critical opportunities due to the agony of waiting.

But what if we could go beyond solving queues?

We asked:
"What if the same system that manages people efficiently could also protect them?"

In a world where safety and time are both priceless, we envisioned a system that not only helps people skip physical queues but also monitors environments for potential crimes and safety hazards—from a chain snatching at a train station to a terrorist threat at a crowded mall. That’s when PulseQ was born.

💡 What It Does

PulseQ is a smart, AI-powered queue and safety management platform that includes:

  • QR-Based Virtual Queueing: Users scan a code to join a virtual queue.
  • Live Crowd Monitoring: Real-time headcount and face detection using CCTV feeds.
  • Crime Detection: AI models identify suspicious behaviors like sudden aggression or theft.
  • Face/Iris Recognition: Suspects are identified by matching faces/irises with authorized government databases.
  • Real-Time Alerts: Triggers instant alerts for crowd control or security breaches.
  • Dashboard Interface: Unified admin view for queues, crowd stats, and safety alerts.

🔧 How We Built It

  • Frontend: HTML, CSS for the kiosk UI and user interaction.
  • Backend: Node.js with Express.js to manage queues, logs, and integrations.
  • Database: MongoDB to store user check-ins, alerts, and surveillance data.
  • AI Models:
    • YOLOv8 for face/person detection and crowd counting.
    • DeepFace/ArcFace for facial recognition.
    • OpenPose/Action Recognition for suspicious behavior tracking.
  • Camera Integration: Real-time CCTV input using OpenCV streams.
  • QR Module: Generates and verifies QR codes for virtual queue entry.

🧱 Challenges We Ran Into

  • Integrating real-time video analysis without lag.
  • Ensuring accurate face recognition even in low-light conditions.
  • Getting action recognition models to correctly distinguish aggression vs. normal behavior.
  • Balancing privacy and security, especially when linking to sensitive government databases.
  • Designing a clean, non-intrusive user interface that worked for both queueing and emergency alerts.

🏆 Accomplishments We’re Proud Of

  • Built a multi-purpose platform that helps both time and life-saving decisions.
  • Achieved real-time crowd estimation with over 90% accuracy.
  • Integrated face detection + matching in under 1 second.
  • Created a system that can actively prevent incidents instead of only reacting to them.

📚 What We Learned

  • The importance of edge-based computing when dealing with surveillance data.
  • How to chain AI models (face detection → face recognition → criminal matching) for real-world use.
  • Realized how tech can have life-changing effects when aligned with social impact.
  • Understood the ethical and technical depth behind privacy-aware surveillance.

🔮 What's Next for PulseQ

  • Integrating anonymous tracking (for privacy-preserving flow monitoring).
  • Adding voice + visual alerts for emergencies.
  • Connecting with law enforcement APIs to automate reporting.
  • Building mobile apps for both users and admins.
  • Expanding to transport hubs, malls, hospitals, and government offices.

🔐 Real-Life Scenarios Solved

  1. Chain Snatching at a Railway Station

    • CCTV detects sudden movement.
    • Captures suspect's face.
    • Model identifies person through linked database.
    • Alert sent, location tracked in real-time.

  2. Overcrowding at Hospitals

    • AI counts people and flags when crowd exceeds safety limits.
    • Staff alerted instantly to manage flow.
    • Patients are automatically queued based on priority.

  3. Terrorist Intrusion at a Mall

    • Suspicious movement + facial match triggers threat protocol.
    • Crowd redirected, authorities notified with evidence.

PulseQ isn’t just about managing lines.
It’s about protecting people’s time, safety, and peace of mind.
And that’s the future we’re building.

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