How Does 3D Vision-Guided Technology Reshape Logistics Handling Automation?

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

Transfer Technology has been deeply engaged in the 3D vision field, deeply integrating technology with actual logistics handling scenarios. It has deployed mature solutions in six core scenarios, including mixed-code carton depalletizing, standard carton depalletizing, and bagged material depalletizing. With real data and actual cases, it provides feasible technical support for logistics automation transformation.

01 Mixed-Code Carton Depalletizing

Mixed-code cartons, due to varying specifications and disordered stacking, pose a challenge for depalletizing automation. Transfer Technology's 3D vision system uses high-precision point cloud recognition technology to quickly capture the position and posture of cartons of different sizes and angles, outputting precise pick coordinates.

It supports mixed stacking recognition of multiple carton specifications, with recognition accuracy ≤ ±2 mm, single-carton cycle time ≤ 5 seconds, and a recognition rate of over 99.9%. It perfectly meets the depalletizing needs of multi-category warehouses such as e-commerce and supermarkets, significantly reducing the tedious process of manual sorting.

02 Standard Carton Depalletizing

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

In a pharmaceutical industry project, the 3D vision system can recognize an entire layer of boxes at once, guiding the robot for precise picking, preventing drug damage due to positioning errors. The recognition rate for pharmaceutical boxes is 99.9%, with a single-box cycle time ≤ 5 seconds, meeting GMP standards. For general standard carton depalletizing, it supports dual-station simultaneous operation, improving efficiency by over three times to meet high-load continuous production needs.

03 Bagged Material Depalletizing

Bagged materials, with severe surface wrinkles and irregular shapes, often collapse or tilt during stacking, imposing higher requirements on visual recognition and picking guidance.

The 3D vision system uses flexible algorithm optimization to intelligently identify the best pick points and combines adaptive grippers to ensure stable picking even when sacks are severely deformed.

At a chemical enterprise sorting center, the system operates 7x24 hours without interruption. The picking cycle fully meets line feeding requirements, with a single station replacing high-intensity heavy manual labor.

04 Tote Depalletizing

As core carriers in warehousing logistics, the automated depalletizing of totes directly affects warehouse turnover efficiency. For totes of different specifications, the 3D vision system quickly identifies their positions and guides the robot for precise picking and handling, suitable for various tote usage scenarios such as e-commerce and industrial warehouses.

In a typical logistics tote depalletizing scenario, the system quickly locates tote edges, uses intelligent trajectory planning to avoid collisions, and achieves a recognition rate of up to 99.9%. Working in coordination with AGVs, it seamlessly connects with warehouse conveying lines, realizing an integrated tote depalletizing and conveying process.

05 Parcel Sorting

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

Using AI algorithms to segment overlapped 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 Row/Layer Picking

Taking small cigarette packs as an example, their surface film causes severe reflection, and the front and back features are highly similar. Additionally, the picking posture must remain absolutely consistent for subsequent packaging, requiring extremely fine visual positioning.

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

It supports entire-layer picking of multiple cigarette pack specifications, adapting to the fine warehousing handling needs of the tobacco industry and significantly increasing the handling efficiency of small-box goods.

From mixed-stack cartons to standard packaging, from hard-packed cartons to soft sacks, and from large totes to small cigarette packs, 3D vision-guided technology is breaking the boundaries of logistics handling scenarios.

Transfer Technology combines technological innovation with practical applications, providing feasible and cost-effective solutions to inject core impetus into the automation upgrade of the logistics industry, making every handling operation more efficient and precise.