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Project Background

Driven by e-commerce prosperity and consumption upgrading, the traditional labor-intensive logistics model can no longer meet the demands of large-scale, high-efficiency cargo handling. The logistics industry urgently needs transformation and upgrading to enhance overall operational efficiency, reduce costs, and strengthen market competitiveness. By leveraging the DexVerse™ engine, DexForce's spatial and embodied intelligence suite empowers depalletizing and sorting operations with higher efficiency, intelligence, and precision, helping customers enhance their core competitiveness.

Project Challenges

⦁ Heavy weight and reflective surfaces of aluminum ingots demand high-quality 3D imaging.

⦁ Irregular patterns and tight stacking complicate precise vision recognition and grasping sequence.

Case Video

Core Values

 Complete Imaging of Highly Reflective Workpieces

Complete Imaging of Highly Reflective Workpieces

Guaranteed by the high-precision 3D camera that can generate high-fidelity images for aluminum ingot surfaces.
Stable Grasping

Stable Grasping

Enabled by advanced vision algorithms that realize 24/7 stable operation.

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Large Field of View, Greater Depth of Field

Laser beams have an ultra-large depth of field range, compared to traditional optical systems, offering a larger depth of field, meeting customers' broader field of view requirements
Edge Computing, Smaller Load

Edge Computing, Smaller Load

Equipped with NVIDIA Jetson Nano core, the camera has built-in powerful computing capability, independently achieving camera control and point cloud parsing imaging, faster and more stable than traditional cameras, without occupying the customer's host computing resources
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