Vision-Guided Loading of Cylinders

Project Background

The home appliance manufacturing industry is grappling with rising labor costs, growing quality management challenges, and a lack of flexibility in production lines. DexForce brings embodied intelligence to key stages of home appliance manufacturing. Its spatial and embodied intelligence suite, powered by the DexVerse™ engine, serves as a catalyst for intelligent transformation on appliance production lines.

Core Values

Complete Imaging of Highly Reflective Workpieces

Guaranteed by the high-precision 3D camera that can capture the high-fidelity imaging of highly reflective cylinders.

Precise Positioning

Enabled by advanced vision algorithms that accurately and quickly locate cylinders in the same direction and guide robots for precise handling.

Product Recommendations

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 a working distance of 600mm, applicable to industrial inspection fields with high precision requirements

Integrated Imaging and Perception

Equipped with NVIDIA Jetson Nano core, built-in computing and control algorithms, endowing the camera with point cloud analysis capability, optimizing image quality; fast speed, more stable, enabling lightweight, edge deployment

Industrial-Grade Design to Handle Real Industrial 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, dust

Algorithm Development for Extreme Conditions

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

Vision-Guided Loading of Cylinders

Project Background

Project Challenges

Case Video

Core Values

Product Recommendations