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    Case Study

    AI on Edge Devices

    Deploying real-time computer vision on resource-constrained edge hardware to track property visitors across EU locations — GDPR-compliant, sub-second inference, zero cloud dependency.

    YOLOv8TensorRTEdge GPUGDPR
    EDGE-CAM-01 — EU PROPERTY LOBBYLIVE
    Visitor — Tracked
    Visitor — New
    Reception — 4 occupants
    ⚠ Unattended item
    4
    Visitors
    1
    Alert
    11ms
    Inference
    1080p
    Resolution
    Edge GPU — on-device
    [01]

    The Challenge

    A leading North American hospitality group faced a recurring challenge: their operational data arrived after the fact, making it impossible to dynamically adapt staffing, safety, or customer experiences in real time.

    The client needed a solution that could:

    • Detect occupancy, activity, and crowd patterns in real time.
    • Eliminate dependence on fragile network bandwidth for video streaming.
    • Ensure guest privacy and compliance with strict data-protection standards.
    [02]

    The Solution

    NSigma deployed an AI-on-the-edge framework, moving intelligence directly onto cameras and IoT gateways:

    Computer Vision at the Edge

    TensorFlow + TensorRT models deployed on GPU-enabled cameras for instant inference.

    Streaming & Coordination

    Apache Kafka and Spark pipelines orchestrated local decisions while syncing only essential metadata to central systems.

    Secure Training Loop

    Batch training and hyperparameter tuning ran in the cloud (AWS), with regular model updates pushed back to edge devices.

    Low-Latency Design

    By cutting out the round-trip to central servers, reaction time dropped to sub-second levels.

    [03]

    The Results

    25%

    Gain in staffing efficiency through better alignment of employee shifts with real-time demand.

    40%

    Improvement in incident response time, boosting safety compliance.

    70%

    Reduced network costs, since raw video never left the premises.

    Higher

    Customer satisfaction scores rose as wait times shortened during peak hours.

    [04]

    Why It Matters

    Edge AI is not just about speed — it transforms how organizations operate. This project shows how decentralized intelligence can power real-time operational excellence, blending safety, efficiency, and guest experience into one system.

    Ready to bring AI to the edge?

    Let's discuss how edge AI can transform your real-time operations.

    Get in Touch

    Engage with NSigma

    Transform your data into your greatest competitive advantage. Let's discuss how NSigma can accelerate your AI journey.

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