Pallet Tipping Early Warning and Improper Stacking Detection.

Product damage, personnel injury, and insurance claims resulting from improperly stacked pallets tipping over.

REF: LOG-05
Logistics & Supply Chain

Operational
Mechanism.

Technical details of field integration, data flow, and autonomous decision algorithms.

Edge Hardware

3D LiDAR (Spherical 360°)
High Resolution RGB Depth Camera
NVIDIA Jetson AGX

Artificial Intelligence

Navigation (SLAM)

Safe corridor SLAM synchronized with forklift traffic in high-rack warehouses

Perception & Analysis

Pallet Tilt Angle Calculation and Stacking Standard Violation Detection (3D Point Cloud Analysis)

Autonomous Workflow

The robot continuously scans with 3D LiDAR in high-rack warehouse corridors, calculating tilt angles of pallets on shelves.

Depth camera checks pallet stacking height and weight distribution compliance; flags non-standard stacking.

Instant alarm generated for pallets exceeding critical tilt angle threshold; notification sent to OHS system with GPS coordinates and shelf location.

Daily report transmits stacking quality score, risk location map, and correction recommendations to WMS.

Operational ROI.
Strategic Decision.

EXPECTED BALANCE IMPACT

Annual $74,000 damage and accident prevention savings. ROI: 3.7x | Payback: 1.2 Years.

Reduces pallet tipping accidents by 96%; prevents average $180K in product damage and workplace accident costs.

Review Architecture
Plans with
Professional Presentation.

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