Smart Safety Warning

Overview

In busy industrial environments, pedestrian safety near forklifts is a major challenge. Traditional signage and manual precautions often fall short in preventing accidents at shared crossings or blind zones. To ensure real-time awareness and proactive prevention, safety measures must evolve beyond static alerts.

Solution

Azitek's Smart Safety Warning enhances workplace safety by using vehicle-mounted gateways that automatically trigger visual alerts when approaching pedestrian zones. Traffic lights or projection systems are activated in real time, giving pedestrians a clear warning without any manual action from the forklift operator.

How It Works

Vehicle Gateways

Each forklift is equipped with an Azitek gateway that detects when it enters a defined safety zone.

The gateway then automatically communicates with nearby visual alert devices, such as traffic lights or floor projectors, to warn pedestrians.

Visual Alert Devices

These devices are installed in critical crossing areas and activate automatically when a forklift approaches, ensuring pedestrians receive a clear and immediate warning.

Benefits

Automated Visual Alerts

Forklifts automatically trigger warning systems as they enter pedestrian zones (no driver interaction required) improving awareness and reducing accident risks.

Pedestrian Risk Reduction

Real-time alerts reduce the likelihood of collisions by proactively warning pedestrians of approaching vehicles, even in blind spots or high-traffic intersections.

Increased Safety Intelligence

Eliminates dependence on human input or static signage, making safety measures more dynamic, consistent, and responsive.

Effortless Integration with Analytics

Using almost the same infrastructure, facilities can unlock additional benefits such as heat maps, spaghetti diagrams, and vehicle utilization metrics through a connected cloud dashboard, offering powerful insights for safety and operational optimization.

Technologies

Gateways

In Our Solution

This use case is present in:

Material Handling Equipment Monitoring

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