Solutions/Warehouse Intelligence
Target Sector: Logistics, Fulfillment & Distribution

Warehouse Intelligence

Genovaxai provides ceiling-mounted overhead spatial intelligence, mapping full trajectory vectors, dock bay utilization, and worker-machinery clearance margins.

Genovaxai Real-Time Camera Feed - FEED: CAM-SOL-WAREHOUSE [WAREHOUSE INTELLIGENCE]
Autonomous Mobile Robot (AMR) [Path Clear]99.4%
AMR-041.4 m/s
Pallet Racking Tier 3 [Structural Load OK]99.1%
Worker Safety Clearance Margin [Safe >2.5m]98.8%
FEED: CAM-SOL-WAREHOUSE [WAREHOUSE INTELLIGENCE]
RES: 2560x1440 @ 60 FPSFPS: 60.0INT8: 5.8msms
GENOVAXAI:GENOVAXAI: TENSORRT ENGINE ACTIVE
Classified TargetTelemetry MonitoredBoundary Alert
GENOVAXAI INDUSTRIAL STREAM
The Industry Operational Challenge

Manual Blind Spots & Delayed Alerts

Fulfillment centers face high collision risks between autonomous mobile robots (AMRs), forklifts, and human pickers, alongside costly inventory misplacement.

Genovaxai Autonomous Intervention

Continuous Sub-Second Computer Vision

Genovaxai provides ceiling-mounted overhead spatial intelligence, mapping full trajectory vectors, dock bay utilization, and worker-machinery clearance margins.

End-to-End Workflow

How Warehouse Intelligence Operates in Production

STAGE 01

High-angle cameras capture zone intersections

STAGE 02

Perspective distortion corrected in GPU pipeline

STAGE 03

Objects tracked in unified 2D warehouse map coordinate space

STAGE 04

Audible hazard beepers triggered if proximity <2.5 meters

Core Operational Features

  • Forklift-pedestrian blind spot intersection warnings
  • Loading dock turnaround & demurrage telemetry
  • Pallet dwell time and aisle obstruction detection
  • AMR path clearance verification

Technical Capabilities

  • Fisheye lens unwarping on GPU
  • Sub-meter coordinate mapping accuracy
  • Integration with WMS (Warehouse Management Systems)
  • Zero-latency automated safety horn triggers

Underlying GPU Pipeline Architecture

8-Stage End-to-End Visual Processing Pipeline

Zero-Memory-Copy Accelerated Architecture

TOTAL PIPELINE LATENCY:< 11.1ms
LAYER 04Neural Backbone
Active Production

Computer Vision Pipeline

Extracts high-dimensional spatial feature representations across industrial machinery, workers, gear, vehicles, and hazardous boundaries.

Engineered Specifications:
  • Dual-backbone feature pyramid networks for micro-object detection
  • Pose keypoint extraction for ergonomics and slip-and-fall alarms
  • Multi-head classification for sub-category asset discrimination
TARGET PLATFORM:YOLOv10 / RT-DETR / Spatial Vision Transformers
STAGE LATENCY:< 3.2 ms