With the rapid development of e-commerce, the number of packages in the logistics industry continues to increase, which has brought huge operational pressure to logistics companies. At present, large domestic logistics operation centers have begun to use machine vision automation equipment, but most express delivery companies are in a semi-automated state, and small and medium-sized logistics sorting centers still rely on manual entry of address information and scanning for sorting.
For the logistics industry, labor costs are relatively sensitive, and machine vision automation equipment, with its advantages of high automation, intelligence, high efficiency, high precision, and strong environmental adaptability, opens up new horizons for the rapidly developing logistics industry parcel classification system , and achieve fast and accurate detection and classification of various types of packages, thereby improving the overall efficiency of the industry.
Traditional sorting has obvious disadvantages, machine vision helps efficient sorting
When traditional e-commerce and express companies classify packages, they usually put various types of packages in a unified and scattered manner in the sorting center. There are many difficulties in the project, including many types of packages, and there are large differences in the shape and size of the same package. ; The background of pallets and conveyor belts changes, and traditional rule-based machine vision is difficult to achieve the required detection accuracy and accurate classification; incoming materials are stacked out of order, and traditional two-dimensional identification and positioning alone cannot achieve high classification accuracy. If the parcels on the conveyor line are classified and detected manually, it will easily lead to:
- Low sorting efficiency: manual sorting is slow, prone to congestion and waiting, affecting the speed and efficiency of the entire logistics distribution;
- Low sorting accuracy rate: manual sorting is prone to sorting errors, missed inspections, etc., resulting in delayed delivery of goods, customer complaints and other issues;
- High labor costs: traditional sorting methods require a lot of manual participation;
- Opaque logistics information: The traditional sorting method lacks real-time information feedback and tracking capabilities, making it difficult to understand the distribution of goods in a timely manner, and it is difficult to achieve full visualization and traceability.
Express parcels for the smart logistics industry do not require sorting scenarios. Many machine vision manufacturers rely on AI visual sorting equipment to accurately identify and capture packages of various categories, stacked arbitrarily, and do not require incoming materials, and ensure that the parcel conveyor line is continuous. Stable and efficient operation.
Therefore, in the modern logistics industry, AI+machine vision technology is gradually used to replace the traditional sorting method. While improving the efficiency and accuracy of parcel sorting, it reduces labor costs and improves the transparency of logistics information and customer satisfaction.
AI empowers the intelligent upgrade of the new sorting logistics industry
Among the many machine vision manufacturers, Shenmo Technology has conducted in-depth research and launched the industrial AI vision system empowerment parcel classification project based on AI+3D vision based on the technical capabilities and case experience accumulated in machine vision for many years. For the identification of massive SKUs for fast supply and packaging, relying on industry-leading 3D vision technology and deep learning intelligent algorithms, using various algorithms such as contrastive learning, target detection and segmentation, and point cloud pose detection, the collection edge of the target, packaging texture and Material and other important characteristics are learned to achieve accurate identification and positioning of different supply packages, and to help the intelligent upgrade of the logistics industry's conveyor lines.
In addition, the industrial AI vision system of Shenmo Technology, through the mode of combining external light sources with smart cameras, can have strong adaptability in dealing with reflections, unclear textures, bulges and other package situations, and at the same time realize fast and efficient products Combined with the flexible grasping control technology, it can adapt to the stable grasping of various types of conventional packages such as envelopes, cartons, foam boxes, soft bags, woven bags, etc. The grasping success rate is high; the trajectory of the robot is planned in real time, and obstacles are automatically avoided, so as to avoid abnormal situations such as collisions and bag throwing during the sorting and grasping process.
At present, my country's logistics industry has a huge space for development. Relying on the flexible and automated production of industrial AI vision systems and advanced AI algorithms, Shenmo Technology helps logistics companies quickly solve difficult parcel classification problems and further realize smart logistics.
With the increasingly rich demand for flexible and automated manufacturing, Shenmoo Technology uses AI+3D vision algorithms to accurately identify and capture express packages with continuous, tightly fitted, and randomly stacked patterns. In the future, Deepmoon Technology will continue to deeply cultivate industries such as chip semiconductors, new energy, and smart logistics, and create more efficient AI+3D visual products to help manufacturing customers reduce costs and increase efficiency.
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