Vision-Guided Ordered Loading of Aluminum Castings

Case Background

In the automotive industry, the loading and unloading of die-casting parts bridges die-casting formation and subsequent processing, which is crucial to production rhythm and product quality. DexForce's spatial and embodied intelligence suite leverages the DexVerse™ engine to train models based on CAD-generated synthetic data. It enables the completion of vision configurations in just 5 minutes, allowing robotic arms to grasp die-cast parts accurately for efficient loading and unloading. In this way, DexForce dedicates itself to helping automakers improve quality and efficiency.

Core Values

High-Precision Imaging

Enabled by the high-precision 3D camera that captures clear images of aluminum castings.

Precise Positioning

Enabled by advanced vision algorithms that accurately and quickly locate die-casting parts and guide robots for precise handling.

Product Recommendations

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 Ordered Loading of Aluminum Castings

Case Background

Case Challenges

Case Video

Core Values

Product Recommendations