Case Studies

Multi Modal 3D Detection

Multimodal 3D perception illustration

3D multimodal perception — fusion, pose, and smart perimeter (Shiju Network)

Shiju Network fuses LiDAR with RGB/depth for robust detection and pose under glare and partial occlusion—supporting truck verification, grasp guidance, automated loading, and 3D perimeter use cases, with PLC, crane, and business platform hooks.

Why Shiju Network

  • 100+ projects completed
  • 28 official partners
  • 40+ countries

SOLUTIONS

Scenario-based solutions

Fused perception & detection

Combine dense clouds with image cues for edges, speculars, and partial occlusion—detection, segmentation, or tracking outputs for your stack.

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Talk to an engineer

Share object classes, takt time, mounting limits, and protocols—we will size sensors and algorithms.

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