Automatic truck loading system and method based on machine vision

Abstract

The invention discloses an automatic truck loading system and method based on machine vision. A movable telescopic machine, a 3D camera connected with a vision recognition system, a camera support arranged above the front section of the telescopic machine and used for fixing the 3D camera, a mechanical arm body, a robot system for transmitting information fed back by the vision recognition systemto control the action of the mechanical arm body, and a trolley used for carrying the mechanical arm body for movement. A suction cup clamp is arranged at the end portion of the mechanical arm body and used for conveying goods to the telescopic machine. The suction cup clamp is arranged at the end portion of the mechanical arm body and used for conveying the goods to the telescopic machine. In theoperation process, to make the mechanical arm body stable, the trolley is fixed to one side of the tail end of the telescopic machine and is driven by the telescopic machine to move. When the mechanical arm body cannot reach the position during operation, the front-back fixed position of the trolley on the telescopic machine can be adjusted till the mechanical arm body can work in the operation range.

Description

technical field [0001] The invention relates to a truck loading system, in particular to a machine vision-based automatic truck loading system and method. Background technique [0002] In industrial production, in modern enterprise logistics, truck container loading is one of the important links. The container is a steel box designed according to standard specifications, and the container loading is to stack the goods in the compartment according to a certain stacking type. At present, the standardization of this link still needs to be improved. Due to factors such as different types of trucks, different sizes of goods, and changing loading requirements, it is currently mainly done manually. When using manual work, workers have to face high temperature in the car and occupational diseases caused by dusty environment, which is not only labor-intensive, time-consuming, low-efficiency packing, and may damage the goods, but also in a small space. Workers who work with stacking...

AI Technical Summary

Problems solved by technology

When using manual work, workers have to face high temperature in the car and occupational diseases caused by dusty environment, which is not only labor-intensive, time-consuming, low-efficiency packing, and may damage the goods, but also in a small space. Workers working with stacking face higher safety risks, and all of the above factors will affect the loading efficiency of enterprise logistics

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