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Project Background

The home appliance manufacturing industry faces multiple challenges, including rising labor costs, increasing quality control pressures, and insufficient flexibility of production lines. To address these pain points, DexForce leverages embodied intelligence to empower the core links of home appliance production, and its spatial and embodied intelligence suite, powered by the DexVerse™ engine, acts as a catalyst to inject intelligent transformation into home appliance production lines.

Project Challenges

⦁ Highly reflective surfaces of stators make point cloud imaging challenging.

⦁ Positioning must be highly precise, or misalignment and other issues will occur.

Case Video

Core Values

Complete Imaging of Highly Reflective Workpieces

Complete Imaging of Highly Reflective Workpieces

Guaranteed by the high-precision 3D camera that can generate high-fidelity images for highly reflective stators.
Precise Positioning

Precise Positioning

Enabled by advanced vision algorithms that accurately locate the stator's center and guide robots for precise handling.

Product Recommendations

High energy resistance to light interference

High energy resistance to light interference

Leveraging laser high-energy characteristics, FINCH cameras exhibit excellent anti-glare performance, enabling imaging of black high-reflectivity components in complex environments
Large field of view with greater depth of field

Large field of view with greater depth of field

Laser beams feature an ultra-large depth of field range, providing greater depth than traditional optical systems to meet broader field of view requirements
Edge computing with minimal load

Edge computing with minimal load

Equipped with NVIDIA Jetson Nano core, cameras have built-in powerful computing capabilities, independently achieving camera control and point cloud analysis, offering faster and more stable performance than traditional cameras without occupying host computing resources
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