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Project Background

The home appliance manufacturing industry is grappling with multiple challenges, such as rising labor costs, intensifying pressure on quality control, and insufficient production line flexibility. To address these pain points, DexForce empowers core links in home appliance production with embodied intelligence. By leveraging the DexVerse™ engine, DexForce's spatial and embodied intelligence suite serves as a catalyst for the intelligent transformation of home appliance production lines.


Project Challenges

⦁ Low efficiency of manual positioning restricts the cycle time of production line.

⦁ Power port positioning demands high precision.

Case Video

Core Values

Precise Positioning

Precise Positioning

Enabled by advanced vision algorithms that accurately and quickly locate power ports.
High-Precision Imaging

High-Precision Imaging

High-precision 3D cameras provide high-accuracy imaging of power ports

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 50μm at 600mm working distance, 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, 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 -10℃ to 50℃ working environments, adaptable to most industrial scenarios; passed certifications such as EU CE, RoHS, US FCC, better coping with harsh industrial environments like humidity, electromagnetic interference, dust
Extreme Working Condition Algorithm Development

Extreme Working Condition Algorithm Development

Exposure modes specifically optimized for high-reflectivity surfaces, effectively improving camera accuracy and stability in high-glare surface measurements. Proprietary compensation algorithms effectively reduce depth measurement errors, minimizing the impact of object surface textures on depth images
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