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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.

⦁ Harsh working environment causes the high labor turnover and difficulties in recruitment.


Case Video

Core Values

High Precision Imaging

High Precision Imaging

Enabled by the high-precision 3D camera that captures high-fidelity images of pipelines
Precise Positioning

Precise Positioning

Enabled by advanced vision algorithms that accurately and quickly locate pipelines.

Product Recommendations

Higher Precision 3D Imaging Capability

Higher Precision 3D Imaging Capability

Utilizing 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 requiring high precision
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, greater stability, enabling lightweight, edge deployment
Industrial-Grade Design, Addressing Real-World Challenges

Industrial-Grade Design, Addressing Real-World Challenges

IP65 dustproof and waterproof design; wide temperature design, supports operation in environments from -10°C to 50°C, adaptable to most industrial scenarios; certified by EU CE, RoHS, US FCC, etc., better equipped to handle harsh industrial environments like humidity, electromagnetic interference, and dust
Algorithm Development for Extreme Conditions

Algorithm Development for Extreme Conditions

Exposure modes specifically optimized for highly reflective surfaces, effectively improving the camera's accuracy and stability in measuring high-reflectance surfaces. Proprietary compensation algorithms effectively reduce depth measurement errors, minimizing the impact of object surface textures on depth images
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