How Does 3D Vision Guidance Reshape Logistics Handling Automation?

In the wave of intelligent upgrading of logistics warehousing, 3D vision guidance technology has become the core lever to break through the bottleneck of handling and sorting efficiency. With precise recognition and positioning, as well as flexible scene adaptability, it endows robots with "smart eyes".

Migration Technology deeply cultivates the field of 3D vision, integrating the technology with actual logistics handling scenarios. It has developed mature solutions for six core scenarios, including mixed-code carton depalletizing, standard carton depalletizing, bagged material depalletizing, etc., providing real data and practical cases to offer implementable technical support for the transformation of logistics automation.

01

Mixed-Code Carton Depalletizing

Mixed-code cartons, due to varying specifications and disordered stacking, pose challenges for depalletizing automation. Migration Technology's 3D vision system uses high-precision point cloud recognition technology to quickly capture the positions and poses of cartons of different sizes and placement angles, outputting precise grasping coordinates.

It supports mixed-stack recognition of multiple specification cartons, with recognition accuracy ≤ ±2mm, single-box processing cycle ≤ 5 seconds, and recognition rate over 99.9%. It is perfectly suitable for depalletizing needs in e-commerce, supermarkets, and other multi-category warehouses, significantly reducing the tedious process of manual sorting.

02

Standard Carton Depalletizing

For the depalletizing needs of standard cartons in industries such as pharmaceuticals and food, the technical solution balances precision and stability.

In a pharmaceutical industry project, the 3D vision system achieved one-time recognition of entire layers of boxes, guiding the robot to grasp accurately, preventing drug damage caused by positioning errors. The recognition rate for pharmaceutical box depalletizing is 99.9%, with a single-box cycle ≤ 5 seconds, meeting the GMP requirements of the pharmaceutical industry. The standard carton depalletizing supports dual-station simultaneous operation, increasing efficiency by more than 3 times, meeting the needs of high-load continuous production.

03

Bagged Material Depalletizing

Bagged materials have severe surface wrinkles, irregular shapes, and often have collapsed edges and tilts during stacking, imposing higher requirements on visual recognition and grasping guidance.

The 3D vision system uses flexible algorithm optimization to intelligently identify the best grasping points, and combined with adaptive grippers, ensures stable grasping even when bags are severely deformed.

In a chemical enterprise sorting center, the system achieved 7x24 non-stop operation, with a grasping cycle fully meeting the production line feeding requirements, replacing the originally heavy manual labor at a single station.

04

Pallet Bin Depalletizing

As the core carrier in warehousing logistics, the automated depalletizing of bins directly affects the turnover efficiency in the warehouse. For bins of different specifications, the 3D vision system can quickly identify their positions, guiding the robot to accurately grasp and handle them, suitable for various bin usage scenarios such as e-commerce and industrial warehouses.

In a typical logistics bin depalletizing scenario, the system can quickly locate the edges of the bins, avoid collisions through intelligent trajectory planning, and achieve a recognition rate up to 99.9%. In coordination with AGVs, it seamlessly connects with the warehouse conveyor line, realizing integrated bin depalletizing and conveying.

05

Parcel Sorting

The explosive growth of e-commerce logistics imposes strict requirements on the speed and accuracy of parcel sorting. Migration Technology's 3D vision-guided parcel sorting workstation enables automatic grasping, scanning, and sorting of small parcels without manual intervention.

Through AI algorithms for segmenting stacked and connected parcels, it achieves extremely high sorting accuracy with a recognition success rate over 99.9%, perfectly meeting the high-load demands of small parcel sorting in e-commerce warehouses.

06

Small Box Whole Row (Layer) Grasping

Taking small cigarette packs as an example, their surface has severe reflection from film coating, and the front and back features are very similar, requiring absolute consistency in grasping posture for subsequent packaging, demanding extremely high precision in visual positioning.

The 3D vision system uses ultra-fine point cloud processing to achieve positioning accuracy ≤ ±1mm, enabling precise recognition and positioning of whole rows and layers of cigarette packs, guiding the robot to grasp entire rows, avoiding the efficiency loss of single-pack grasping.

It supports whole-layer grasping of cigarette packs of various specifications, adapting to the fine-grained storage and handling needs of the tobacco industry, significantly improving the handling efficiency of small box-type goods.

From mixed-stack cartons to standard ones, from hard-packed cartons to soft-packed bags, from large bins to small cigarette packs, 3D vision guidance technology is breaking the boundaries of logistics handling scenarios.

Migration Technology combines technological innovation with practical application, providing implementable and cost-effective solutions to inject core momentum into the automation upgrade of the logistics industry, making every handling more efficient and precise.