Vision-Guided Loading and Unloading of Stamped Parts

Case Background

Conventional methods for loading and unloading stamped parts in the automotive industry are error-prone and inefficient, which impairs production efficiency and quality. To solve the pain point, DexForce launches the spatial and embodied intelligence suite, which leverages synthetic data to train models based on the DexVerse™ engine, to help quickly complete vision configurations, and enable robotic arms to accurately grasp stamped parts. The innovative solution streamlines loading and unloading processes, and injects strong momentum into the industry's intelligent transformation.

Core Values

Complete Imaging of Highly Reflective Workpieces

Guaranteed by the high-precision 3D camera that can generate high-fidelity point clouds for stamped parts with reflective surfaces.

Precise Positioning

Enabled by advanced vision algorithms that accurately locate stamped parts and guide robots for precise handling.

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Higher-Precision 3D Imaging Capability

Powered by in-house designed high-precision 3D imaging algorithms and HDR technology, the camera achieves a Z-axis measurement accuracy of up to 50μm at a working distance of 600mm. It meets the high standards of precision in industrial inspection applications.

Integrated Imaging and Perception

Equipped with the NVIDIA Jetson Nano module and built-in computing and control algorithms, the camera can perform point cloud analysis and optimize imaging quality. Its fast and stable operation enables lightweight and edge-side deployment.

Applicable to Challenging Industrial Scenes

With an IP65 rating for dust and water resistance and a wide operating temperature range of -10℃ to 50℃, the camera adapts to most industrial scenes. It is certified to CE, RoHS, and FCC standards, ensuring reliable operation in harsh industrial environments such as humidity, electromagnetic interference, and heavy dust.

Algorithm Development for Extreme Working Conditions

The dedicated exposure mode for highly reflective surfaces enhances the camera's measurement accuracy and stability. The proprietary compensation algorithm minimizes depth measurement errors and mitigates the effect of surface texture on depth imaging.

Vision-Guided Loading and Unloading of Stamped Parts

Case Background

Case Challenges

Case Video

Core Values

Product Recommendations