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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

⦁ Deformation in soft, large sheet metal parts compromises cycle time, precision, and stability.

⦁ Manual loading is labor-intensive and results in low production efficiency.

Case Video

Core Values

High-Precision Imaging

High-Precision Imaging

Enabled by the high-precision 3D camera that captures high-fidelity images of sheet metal parts.
Precise Positioning

Precise Positioning

Enabled by advanced vision algorithms that accurately and quickly locate sheet metal parts and guide robots to load the workpieces onto racks.

Product Recommendations

Higher Precision 3D Imaging Capability

Higher Precision 3D Imaging Capability

Based on self-developed high-precision 3D imaging algorithms and HDR technology, achieving Z-axis measurement accuracy up to 50 µm at a working distance of 600mm, applicable to industrial inspection fields with high precision requirements
Integrated Imaging and Perception

Integrated Imaging and Perception

Equipped with NVIDIA Jetson Nano core, built-in computing and control algorithms, endowing the camera with point cloud analysis capabilities and optimizing image quality; fast speed, more stable, enabling lightweight, edge deployment
Industrial-Grade Design, Addressing Real-World Scenario Challenges

Industrial-Grade Design, Addressing Real-World Scenario Challenges

IP65 dustproof and waterproof design; wide temperature design, supports operation in working environments from -10°C to 50°C, adaptable to most industrial scenarios; passed certifications such as EU CE, RoHS, US FCC, etc., better coping with harsh industrial environments like humidity, electromagnetic interference, and dust
Algorithm Development for Extreme Working Conditions

Algorithm Development for Extreme Working Conditions

Exposure modes specifically optimized for high-reflectivity object surfaces, effectively improving the camera's accuracy and stability in measuring high-reflectivity surfaces. Proprietary compensation algorithm development effectively reduces depth measurement errors, minimizing the impact of object surface texture on depth images
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