DeepOptics Technology

Automated loading and unloading by robotic arms is a promising area of automation, employing visual recognition and precise programming to enable the accurate and efficient handling of cargo. Our strengths are as follows:
1. We possess world-leading expertise in the design of parallel robots and system development, complemented by our independent development of autonomous navigation technology, accurate positioning, and loading and unloading mechanisms.
2. With nearly two decades of practical experience in optical positioning for warehouse operations, we have honed core technologies such as intelligent loading and unloading algorithms and precise optical sensor positioning.
3. We offer unique solutions for the loading and unloading of goods packaged in plastic film, bags, boxes, and irregular packaging, significantly addressing the longstanding challenges in the logistics sector.
The automation of loading and unloading with robotic arms facilitates efficient cargo movement and palletizing, enhancing productivity, reducing labor costs, and ensuring the quality and stability of the palletized stacks. In the realms of industrial automation and logistics, robotic arm loading and unloading have become a vital technological application.

A composite handling robot is an advanced robotic system that incorporates a range of technologies, allowing it to execute multiple tasks across various settings, including material handling, loading and unloading, and palletizing. Composite Palletizing Robots: These robots are capable of organizing bags of fertilizer with different shapes and weights into neat stacks, automating the transportation, stacking, and bundling processes of fertilizer bags. Intelligent Logistics Handling Robots: Designed for the automated completion of tasks within a logistics warehouse, these robots can autonomously carry out the picking, transporting, and placing of goods. Featuring a suite of technologies and capabilities, these robots can be tailored to specific scenarios and mission requirements through customized design and manufacturing.

A significant portion of human endeavors is directed towards combating entropy. In the realm of discrete manufacturing, even with advanced automation, there remains a considerable effort to achieve "orderliness." An automated production line, spanning from raw casting to the finished product, necessitates ample "buffering" to prevent the entire line from coming to a standstill due to a malfunction at any stage. Even when products are neatly arranged on the production line, the pursuit of precision is relentless. Any variation in the [X, Y, Z, Rx, Ry, Rz] values still represents a "disorderly" state for industrial robots or automated systems. Thus, the shift from disorder to order is a perpetual necessity. The synergy between industrial robots and machine vision facilitates this transition. In a typical random bin picking (RBP) system, several challenges must be overcome:
1.Acquiring high-quality imaging data that includes three-dimensional point clouds and grayscale information, with color information being temporarily excluded.
2.Identifying the target and ascertaining its orientation to obtain the [X, Y, Z, Rx, Ry, Rz] coordinates for grasping points.
3.Conducting hand-eye calibration to align the coordinates captured by the vision sensor with the robot's coordinate system.
4.Planning a trajectory that enables the robot to navigate around obstacles (such as bins or columns) and its own singularities during the grasping process.

As science and technology continue to evolve, AGV system technology has incorporated robotics and sophisticated sensor technology, enhancing the intelligence of AGVs. Currently, large enterprises around the globe are transitioning from manual material handling to automated transport within their logistics operations. The AGV transportation system stands out as the premier solution for a flexible, non-linear logistics system. It can efficiently perform a range of tasks without interruption, including material weighing, picking and delivering, and the recovery of containers and racks. Moreover, it can exchange information with the factory's overall production management system, offering exceptional flexibility and adaptability. Material handling, loading, and unloading are activities that occur frequently in the logistics process, consuming a significant amount of time, labor, and costs, with a high volume of repetitive tasks. To reduce expenses and increase efficiency, the adoption of automated handling technology is essential and has thus garnered increasing attention.