Comprehensive Workflow Management

Real-time employee and material tracking with BLE, UWB, and GNSS technologies. Heatmaps and spaghetti diagrams help optimize efficiency.

Zone-Based Employee Positioning: Near real-time tracking of employee locations using BLE technology. Monitor employee movements within designated zones and optimize workflow efficiency.

Precise Positioning (UWB Technology): High-precision employee tracking using UWB technology for quick response in dynamic environments.

GNSS Positioning: Track employees across large outdoor areas using GNSS technology.

Heatmap of Movements: Visualize employee activity within work zones to identify high-activity or idle areas.

Spaghetti Diagram of Movements: Analyze employee movement paths to optimize workflows and eliminate inefficiencies.

Industrial Safety Innovations

Advanced motionless and fall detection sensors with instant alerts. Dynamic access control in hazardous zones to prevent accidents.

Motionless Sensor: Continuous monitoring of employee activity levels to detect immobility and trigger immediate alerts.

Fall Detection Sensor: Real-time detection of falls with automatic alerts to supervisors for prompt response.

SOS Button: An easily accessible emergency button for employees to signal distress, ensuring rapid intervention.

Dynamic Access Control: Automatically restrict access to active crane and excavator zones during operation, ensuring only authorized personnel are present.

Material Flow Optimization

Real-time inventory tracking with data-driven insights for just-in-time delivery. Automated material movement for reduced manual handling errors.

Real-Time Material Tracking: Monitor material location and status in real time to ensure accurate inventory levels.

Inventory Optimization: Utilize data-driven insights to optimize inventory levels, reducing excess stock and avoiding shortages.

Proactive Equipment Monitoring

IoT sensor integration for real-time data collection and predictive maintenance. Remote monitoring and instant alerts for minimizing downtime.

Real-Time Data Collection: Deploy IoT sensors to continuously monitor equipment performance and environmental conditions.

Predictive Maintenance: Analyze sensor data to predict potential equipment failures before they occur, scheduling maintenance based on actual conditions.