3D Structured Light Camera
S3D-Pro-M
969-1573 mm Working Range, Near FOV 800mm×600mm, Far FOV 1300mm×1000mm, Accuracy<0.1%
The SCAPE Pro-M 3D scanner can be used to visually guide the selection of goods, which is suitable for the application needs of goods selection in logistics, e-commerce, manufacturing and other industries.
Features
1, High Accuracy
The accuracy achievable in the three directions of XYZ within the range is between 0.05% and 0.1% of the distance.
2, Comes with RGB module
The camera is equipped with an RGB module, enabling the alignment of RGBD data.
3, Powerful Algorithm
Support for imaging black objects with a certain degree of reflectivity.
4, High Performance
Equipped with a powerful hardware computing platform and advanced algorithms for rapid and stable processing.
「Application」
- Logistics
The SCAPE Pro-M 3D scanner enhances automation in logistics by enabling precise parcel sorting, bin picking, and palletizing. It guides robots in handling packages of various shapes and sizes, optimizing warehouse operations, reducing manual labor, and improving processing speed in distribution centers.
- E-commerce
In e-commerce fulfillment, the scanner ensures accurate order picking, inventory management, and package verification. By guiding robots in retrieving, sorting, and validating items, it increases picking accuracy, reduces errors, and streamlines warehouse workflows for faster deliveries.
- Manufacturing
The SCAPE Pro-M 3D scanner supports advanced automation in manufacturing, assisting with robotic assembly, quality inspection, and material handling. It enables precise placement of components, detects defects, and ensures efficient handling of raw materials and finished products, improving production accuracy and efficiency.
- Load/Upload of Machines
For machine tending applications, the scanner provides reliable 3D vision for loading and unloading CNC machines, injection molding systems, and conveyor belts. It enables robots to pick unstructured parts from bins, position workpieces accurately, and streamline automated production workflows.
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