Truck compartment volume measuring system based on binocular vision

Abstract

The invention discloses a boxcar volume measurement system based on binocular vision. The system comprises a sectional area measurement module which is used for measuring the width and height information of a measured boxcar through a distance sensor, and obtaining the sectional area of the boxcar; a regular depth measurement module which is used for calculating the length of the telescopic belt conveyor entering the vehicle type through an encoder installed on the telescopic belt conveyor, and the length serves as regular depth data; an irregular measurement module which is used for dividing the current irregular volume into the sum of the volumes of a plurality of regular cuboids according to the sectional area information and the multi-point depth information measured by the sectional area measurement module; a Raspberry Pi which is used for fusing a plurality of data according to the data of the distance sensor, the encoder and the binocular camera to calculate the internal volume of the carriage; and a feedback display module which is used for displaying the residual volume information in the compartment according to the calculation result of the Raspberry Pi. According to the method, automatic measurement of the carriage volume is realized in a mode of combining vision and sensor measurement.

Description

technical field [0001] The invention relates to intelligent logistics technology, in particular to a binocular vision-based volume measurement system for truck compartments. Background technique [0002] With the advent of the "smart logistics" era, smart loading technology has attracted more and more attention. In fact, an efficient and intelligent loading operation line is of great significance to the service level of logistics companies. In the loading process, the most important thing is to obtain the remaining volume of the truck compartment in a timely and accurate manner. However, the empty volume of different vehicles is inconsistent, and the loadable space itself has a large difference; in addition, express goods are often irregular in shape and inconsistent in type , so there are many measurement parameters and the operation is complicated. The existing measurement methods are mainly manual, with a low level of intelligence, and there are great limitations in meas...

AI Technical Summary

Problems solved by technology

In the loading process, the most important thing is to obtain the remaining volume of the truck compartment in a timely and accurate manner. However, the empty volume of different vehicles is inconsistent, and the loadable space itself has a large difference; in addition, express goods are often irregular in shape and inconsistent in type , so there are many measurement parameters and the operation is complicated

The existing measurement methods are mainly manual, with a low level of intelligence, and there are great limitations in measurement accuracy and measurement cost.

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