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Manage operations in real time with AI

A unified platform for safety, control, and efficiency: smart helmets, event analytics, mobile app, and intelligent analytics — from frontline data to actionable decisions.

Best Vision scenarios: from frontline data to actionable decisions on site

Solution architecture

The chain “devices → data → analytics → actions” shows how the product is built and how it works in the customer environment.

Smart helmets (wearables) Event analytics platform (CCTV / edge) Mobile app AI / LLM analytics Integrations (ERP / Digital Twin)

Use cases

Five typical scenarios: on-site problem, Best Vision platform response, workflow chain, and expected outcome.

Equipment condition monitoring

Problem

No visibility into equipment status, manual rounds, late fault detection.

Best Vision solution

Event analytics and helmet data capture site and asset status; AI helps detect deviations.

How it works

  1. Cameras and wearables collect data.
  2. Computer vision models detect anomalies.
  3. The system creates and classifies an event.
  4. Dispatcher notification and record in the logging system.

Outcome

  • Reduced downtime
  • Faster incident response
  • Foundation for predictive maintenance

Contractor oversight

Problem

Opaque contractor activity, procedure violations, hard to assign accountability.

Best Vision solution

Activity tracking via helmets and video; event and violation logging.

How it works

  1. Personnel identification and zone context.
  2. Movement and geofence tracking.
  3. Rule and PPE violation capture.
  4. Reporting for security and the client.

Outcome

  • Higher on-site discipline
  • Fewer incidents in controlled processes
  • Clear accountability for all parties

Digital Twin integration

Problem

A digital twin without live site data remains a static model.

Best Vision solution

The platform as a source of real-time frontline data for twin models and adjacent systems.

How it works

  1. Frontline data collection (video, telemetry, events).
  2. Transfer to the digital twin environment (e.g. industry platforms).
  3. Update of object and zone states.
  4. Analytics and scenarios on current data.

Outcome

  • Live digital twin
  • Data-driven management
  • Basis for forecasting and planning

Construction sites

Detailed construction material →

Problem

Hard to control work progress and safety; no objective site history.

Best Vision solution

Video and wearables provide transparent process and event control.

How it works

  1. Work and presence capture at key areas.
  2. PPE and behavior rule control.
  3. Alignment with work plan (when integrated).
  4. Reliable project event archive.

Outcome

  • Lower injury and violation rates
  • Better schedule control
  • Verifiable data for client and contractors

Logistics operations

Problem

Time losses, inefficient routes, low visibility of yard operations.

Best Vision solution

People and equipment movement analytics, bottleneck detection.

How it works

  1. Movement and flow tracking.
  2. Zone and route load analysis.
  3. Idle time and queue detection.
  4. Process optimization recommendations.

Outcome

  • Higher throughput
  • Reduced idle time
  • Improved operational efficiency

Unified metrics framework

KPI sets can be tailored per site: metrics are universal across scenarios, business-friendly, and support before/after comparison and enterprise-grade reporting.

Safety (HSE)

  • TRIR / LTIFR (when tracking is deployed)
  • Number of HSE violations
  • Time to detect / Time to respond

Operational efficiency

  • Operation completion time
  • Idle time (%)
  • Throughput, SLA compliance

Workforce analytics

  • Activity and presence time
  • Procedure deviations
  • Coverage — process observability

Equipment

  • Downtime, MTTR
  • MTBF (where applicable)
  • Number of detected anomalies

Processes and flows

  • Cycle time, queue time
  • Identified bottlenecks
  • Resource utilization

Data and AI

  • Events processed
  • Model accuracy
  • Processing latency
  • Share of automated decisions

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