Engineered specifically to solve the cross-contamination challenge in shared multi-tenant fulfillment warehouses through robotic autonomy, mathematical zoning, and edge intelligence.
The warehouse grid is partitioned with mathematical boundaries. Halal Safe Zone is allocated to Y ≤ 4 and Non-Halal Isolation Zone to Y ≥ 6. A transit air-gap at Y = 5 guarantees physical separation. Robots are locked to designated zones by hardware-level firmware checks.
Equipped with 4-DOF articulated robotic arms and differential drive chassis. Featuring 2D ToF LiDAR, dual optical wheel encoders, and high-torque Nema-17 steppers for sub-millimeter shelf picking and bin placement.
Every picking mission, route coordinate, intake barcode scan, and shelf placement is cryptographically signed and stored in an immutable audit trail. Regulators can verify Halal integrity without exposing proprietary supplier pricing.
Intake stations deploy ESP32-CAM optical sensors paired with lightweight YOLOv8 neural models to verify official Halal logos on packaging in < 85ms before items enter warehouse storage racks.
During peak seasons (Ramadan, Eid, Hajj), the orchestrator dynamically reallocates shelf positions based on SKU velocity while maintaining strict mathematical separation from non-certified products.
Built on a hybrid MQTT broker with Server-Sent Events (SSE) and WebSockets, delivering real-time robot coordinates, mission logs, and battery telemetry to browser clients at 60 FPS.