In the food and agriculture industries, accurate sorting of agricultural product maturity is crucial. WeLinkirt's DaoAI 3D robot vision brings a new solution to agricultural product sorting with its unique advantages.
User Scenario: An agricultural product processing enterprise needs to sort the maturity of a large number of fruits (such as apples and oranges) on its agricultural product sorting production line. Before these fruits enter the processing stage, they must be classified according to their maturity to ensure the quality and taste of the final products. The traditional manual sorting method is inefficient and inaccurate, which cannot meet the enterprise's increasing production needs.
Pain Points: On the one hand, the miss-detection rate of manual sorting is relatively high, reaching about 8%. As a result, some unripe or overripe fruits enter the processing stage, affecting the product quality. At the same time, the false-alarm rate of manual sorting also reaches 7%, causing unnecessary waste of manpower and resources. In addition, with the practical exploration of the improvement of the visual ability of catering service robots by the YZ XBOT embodied intelligent system construction, the traditional manual sorting method has been difficult to meet the needs of intelligent production, and the model-changing speed is also slow. Each model change takes about 30 minutes, seriously affecting production efficiency.
Technical Principle
DaoAI 3D robot vision uses a self-developed 3D camera. Through the structured light imaging principle, it can quickly and accurately obtain the three-dimensional morphology information of agricultural products. At the same time, combined with the 6D pose estimation algorithm, it can accurately determine the position and posture of agricultural products. For the maturity detection of agricultural products, advanced image recognition algorithms are used to analyze the color, texture and other characteristics of fruits. Since fruits with different maturities have obvious differences in color and texture, these algorithms can accurately identify these differences to determine their maturity. This combination of hardware imaging and software algorithms enables the system to work stably in complex scenarios and effectively improve the accuracy of detection.
- The self-developed 3D camera provides high-precision 3D data as the basis for subsequent processing.
- The 6D pose estimation algorithm ensures that the robotic arm can accurately grasp agricultural products.
- The image recognition algorithm can accurately distinguish agricultural products of different maturities through learning from a large number of samples.
- The brain-eye - body closed-loop technology enables the robot to adjust operations in real-time according to the detection results, achieving efficient sorting.
- The sub-millimeter hand-eye coordination ability ensures the accuracy of grasping and placing, avoiding damage to agricultural products.
WeLinkirt Solution and Product
WeLinkirt takes DaoAI 3D robot vision as the core solution. This product has the function of disordered bin picking, which can quickly and accurately grasp agricultural products in the bin. Its gluing/assembly/loading and unloading guidance function can realize the efficient sorting and transfer of agricultural products. At the same time, through the brain-eye - body closed-loop, the robot can adjust its actions in real-time according to visual feedback to ensure the accuracy of sorting. In actual implementation, WeLinkirt installs the self-developed 3D camera on the robotic arm so that it can obtain the 3D information of agricultural products in real-time. Combined with 6D pose estimation and sub-millimeter hand-eye coordination ability, the robotic arm can accurately grasp agricultural products in different positions and postures and classify and place them according to maturity. In addition, other products of WeLinkirt, such as the DaoAI AI AOI software system, can be combined for data processing and analysis to further optimize the sorting process.
DaoAI 3D robot vision provides an efficient and accurate solution for the maturity sorting of agricultural products.
Quantitative Results: After introducing DaoAI 3D robot vision, the detection rate of agricultural product maturity sorting has increased to 97%, and the miss-detection rate has decreased to <3%, greatly improving the product quality. At the same time, the false-alarm rate has decreased by -60%, reducing unnecessary resource waste. The model-changing time has also been shortened from the original 30 minutes to 5 minutes, significantly improving production efficiency.
FAQ
Can DaoAI 3D robot vision adapt to the sorting of different types of agricultural products?
Yes. DaoAI 3D robot vision uses advanced image recognition algorithms and 6D pose estimation. By learning from a large number of samples, it can accurately identify the maturity and position of different types of agricultural products and achieve efficient sorting.
Is the installation and debugging of this product complicated?
No. The professional team of WeLinkirt will carry out the installation and debugging. Combining the self-developed 3D camera and intelligent algorithms, the deployment can be completed quickly to ensure the stable operation of the system.
How much manpower can be saved after using DaoAI 3D robot vision?
Due to the improvement of the detection rate, the reduction of the false-alarm rate and the shortening of the model-changing time, the production efficiency has been greatly improved. The manpower input can be reduced according to the actual situation, and the specific saving ratio varies from enterprise to enterprise.