Logistics
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Use Case: Real-Time Optimization in a 40,000 m² Logistics Warehouse
With 300 warehouse employees and 30 forklift trucks moving simultaneously across multiple zones, the company required real-time insight into traffic flows, bottlenecks, and asset utilization to improve both efficiency and safety.
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The Challenge
Traditional tracking methods offered limited visibility, making it difficult to optimize routing, prevent congestion, or analyze how people and vehicles actually moved through the warehouse. The company needed a solution that could continuously track movement inside the facility—accurately, automatically, and at scale.
The Solution
The warehouse was equipped with AI-enabled smart cameras capable of recognizing simple visual markers (such as AprilTags, ArUco or QR-style fiducials). Using advanced computer vision, the system calculates each camera’s exact position, then determines the real-time (x, y, z) coordinates and orientation of staff and forklifts through triangulation and multi-view geometry.
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This enables:
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Real-time indoor localization
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Continuous visibility of staff and vehicle movements
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Live traffic flows, heatmaps, and utilization analytics
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Accurate detection of routes, waiting times, and operational inefficiencies
The platform integrates seamlessly with warehouse IT systems (WMS, MES, ERP), making it suitable for medium and large facilities.
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Technology Capabilities
To meet operational demands, the solution incorporates:
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Advanced computer vision and AI/ML models
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Sub-meter indoor localization accuracy
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Robust multi-camera calibration and synchronization
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Real-time dashboards for analytics and visualization
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Optional safety modules (collision warnings, restricted-zone alerts)
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Outcome
The result is a scalable, future-proof indoor localization system that provides the logistics operator with continuous insight, actionable optimizations, and a foundation for safer and more efficient warehouse operations.
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