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Echelon Platform

Real-time analytics for connected places. Echelon Platform brings video and sensor data together to help property teams understand activity and respond to events as they happen.

From live streams to useful insight

The platform organizes real-time data processing into a clear sequence, from connecting streams to presenting results. It supports video and sensor analytics at the edge, with deployment options that can extend to the cloud.

  1. Stage 1

    Ingest

    Bring in live video, audio, sensor, and network streams.

  2. Stage 2

    Transform

    Prepare and normalize incoming data for the work that follows.

  3. Stage 3

    Infer

    Apply machine-learning models to identify objects, events, and patterns.

  4. Stage 4

    Analyze

    Turn model output and stream data into useful operational insight.

  5. Stage 5

    Visualize

    Present results and configure alerts around what matters at each site.

Analytics workloads can use CPUs, GPUs, FPGAs, and system-on-chip hardware, allowing teams to match computing resources to their performance and deployment needs.

Designed to adapt as operations evolve

Site conditions and analytics requirements change. Echelon Platform is designed to support model improvement, richer context, and hardware choice over the life of a deployment.

  • Continuous model improvement

    Models can be refined with new examples over time, helping analytics adjust as site conditions, activity, and operating needs change.

  • Context-aware analytics

    Combine information from video and sensors to interpret events in context and make better use of the streams already available at a property.

  • Flexible deployment

    Choose hardware and deployment patterns to suit each workload. The platform is designed to work across edge and cloud environments, without tying every application to one hardware vendor.

Applications across connected places

Build analytics around the needs of each site, from safer spaces and worker awareness to smoother day-to-day operations.

  • Smart buildings

    For offices, retail, residential, and industrial properties: detect intrusion and loitering, monitor occupancy and people movement, and configure analytics for site operations.

    Explore smart buildings use cases

  • Smart cities

    For transit, public spaces, utilities, and municipal infrastructure: monitor public-space activity, occupancy, vandalism, vehicle movement, and traffic.

    Explore smart cities use cases

  • Smart factories

    For production facilities: inspect for defects, monitor processes and safety protocols, and tailor analytics to operational needs.

    Explore smart factories use cases

  • Smart retail

    For stores: monitor planogram compliance and shelf stock, analyze shopper heat maps and checkout queues, and count occupancy and boxes.

    Explore smart retail use cases

  • Smart warehouses

    For warehouses, logistics centers, and construction sites: monitor PPE, potential collisions, fire and spills, worker activity, and process efficiency.

    Explore smart warehouses use cases

Browse the full use case library

Learn more about edge analytics

Read more about real-time streaming analytics and edge deployments.

  • Real-time analytics at the edge

    Explore deployment patterns, adaptable analytics pipelines, and model improvement for edge-to-cloud operations.

    Read the platform guide

Explore Echelon Platform for your property

Talk with Pacific Echelon about your site, the streams you already have, and the insights your team needs.

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