In industries such as chemicals and food, the loading and unloading of heavy material buckets has long been a pain point in automation. High weight, stringent precision requirements, and complex processes deter many enterprises. Today, we will dissect a real-world implementation case, demonstrating how 3D vision and robots collaborate seamlessly to achieve fully automatic loading and unloading with a precision of up to 0.5mm, providing a feasible path for the intelligent upgrade of process industries.
On a production line in the chemical industry, buckets filled with solid glue are the core material. Each bucket has a full load weight of 50kg, and in actual production, half-filled buckets also need to be handled.
Traditional manual handling is not only inefficient and poses personal safety risks, but also, because the position of the buckets on the cart and machine is not fixed, traditional robot "blind grabbing" cannot meet requirements. Enabling the robot to "see" accurately and complete subsequent precise hose connections became the key bottleneck for automation.
Solution
To address these pain points, we deployed a robot vision guidance system centered on a high-precision 3D industrial camera. The camera is mounted on the robotic arm end, acting as a freely moving "smart eye" that precisely guides the robot through each complex step.
Loading Process: Vision Positioning: The robotic arm, carrying the camera, sequentially photographs the material cups on rotating tables A and B to obtain high-precision poses. Precise Grasping: The robot moves to the loading cart, visually identifies the bucket's position, and is guided to successfully grasp it. Stable Placement: The bucket is precisely placed into the material cup. Intelligent Connection: The vision system guides the robot to grasp the female hose connector and precisely connect it to the male connector on the bucket, completing loading.
Unloading Process: Intelligent Disconnection: The vision guides the robot to grasp the female hose connector on the bucket and return it to the fixed male connector. Precise Return to Storage: The robot identifies and grasps the empty bucket, visually locates the positioning blocks on the unloading cart, and smoothly places the empty bucket back onto the cart.
The entire process forms a fully closed-loop automation, requiring no human intervention, enabling 7x24 continuous and stable operation.
Technical Highlights
In actual operation, the solution demonstrates impressive technical indicators. The system achieves a recognition and grasping precision of 0.5mm, meaning the robot can precisely position each operation. More noteworthy is its response speed: from visual acquisition to analysis completion, the entire process is controlled within about 2 seconds, with the core algorithm processing time shortened to less than 1.5 seconds. This combination of high precision and fast speed ensures the production line's cycle time is unaffected, providing reliable support for continuous production.
Customer Value
The successful implementation of this solution has brought multi-dimensional value improvements to the customer: Cost Reduction and Efficiency Improvement: Completely liberates workers from repetitive, heavy manual labor, directly reducing labor costs and safety management costs, achieving a significant improvement in production efficiency. Yield Improvement: The 0.5mm grasping and connection precision avoids issues such as collisions and misalignments that may occur with manual operations, ensuring standardization and stability of the production process. Unmanned Operation: Lays a solid foundation for achieving a "dark factory," promoting the enterprise's transformation from "manufacturing" to "intelligent manufacturing."
This case clearly shows that mature 3D vision technology has become a key force driving the upgrade of traditional industries. It solves long-standing automation challenges in process industries, making high-precision handling of heavy materials simple and reliable. As such technical solutions continue to be implemented across various industries, we are witnessing the continuous expansion of the boundaries of intelligent manufacturing and the constant breakthrough of production efficiency ceilings.
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