A computer vision-based intelligent loading system for brick stacks and a loading method thereof

Abstract

The invention discloses a computer vision-based intelligent brick stack loading system and a loading method thereof, which include an image acquisition module, a visual recognition module, a control module and an execution module. The image acquisition module collects real-time images of brick stacks and carriages through industrial cameras. Through the collected images, the visual recognition module obtains the pose information of brick stacks and carriages. The control module processes the real-time pose information, and the control execution module grabs bricks layer by layer. Stacks are placed in the truck bed. The invention uses the visual identification module to accurately identify the positions of the brick stacks and the compartments, and controls the execution module to grab and place the brick stacks layer by layer to a predetermined position in the compartment. This method solves the problem of manual handling and loading of brick stacks in the prior art. However, there are problems of low efficiency, high loading cost, and high labor intensity of workers.

Description

technical field [0001] The invention relates to the field of brick stack transportation, in particular to a computer vision-based intelligent brick stack loading system and a loading method thereof. [0002] technical background [0003] The bricks need to be loaded after being fired in the brick kiln. Due to the influence of high-temperature airflow during the firing process, the bricks will be offset at a certain angle, and the position and posture of some bricks will change, which makes it impossible for traditional automation equipment to process them. Accurate grasping to complete the loading task is mainly done by manual unloading and loading. In the process of unloading bricks, there are problems such as high labor intensity, high temperature, and heavy dust, which seriously affect the safety and health of workers, and also greatly reduce the production efficiency of bricks. [0004] With the continuous development of computer vision and deep learning theory, the use ...

AI Technical Summary

Problems solved by technology

[0003] The bricks need to be loaded after being fired in the brick kiln. Due to the influence of high-temperature airflow during the firing process, the bricks will be offset at a certain angle, and the position and posture of some bricks will change, which makes it impossible for traditional automation equipment to process them. Accurate grasping to complete the loading task, currently mainly unloading bricks and loading by manual means

In the process of unloading bricks, there are problems such as high labor intensity, high temperature, and heavy dust, which seriously affect the safety and health of workers, and also greatly reduce the production efficiency of bricks.

Images