Abnormal parts detection and flow adjustment sorting method

Abstract

The abnormal parts detection and flow adjustment sorting method of the present invention marks the coordinate data and position information of each package based on the application of the image recognition algorithm, so as to identify whether there are abnormal parts such as stacking parts, and then control the subsequent swing device by controlling the Carry out the operation of removing abnormal parts and adjusting the flow of normal parts, so as to realize the purpose of automatic screening of abnormal parts and directional flow adjustment and conveying of normal parts, providing sufficient preparation for the subsequent entry of parcels into cross-belt sorting and automatic barcode scanning, and correspondingly improving the one-time order. Scanning success rate and sorting operation efficiency. The abnormal parts detection and flow adjustment sorting device includes a visual identification device, an identification conveyor belt conveyor, a balance wheel sorter, a diversion belt conveyor and a return belt conveyor connected in sequence along the conveying direction.

Description

technical field [0001] The invention relates to a device and a control method for implementing detection of abnormal parcels and directional flow regulation and conveying, and belongs to the field of logistics sorting. Background technique [0002] At the logistics sorting operation site of the existing e-commerce and express delivery industry, the operation mode of manual manual loading at the front end is usually adopted, and a large number of packages entering the conveyor line are manually separated to facilitate subsequent scanning and information input. At present, this type of front-end manual feeding method requires multiple on-site personnel, and the sorting equipment usually runs at a high speed and cannot be shut down. Correspondingly, the technical quality of manual loading personnel is relatively high, and the on-site labor intensity is also relatively large. . [0003] Once the problem of the drop in the processing speed of the uploading occurs, a large number...

AI Technical Summary

Problems solved by technology

[0005] As mentioned above, the prior application has the following obvious shortcomings and deficiencies: 1. How to effectively adjust the flow of the detected and separated packages before they enter the different strip conveyor belts formed by adjacent interval grooves? How to meet the adjustment of the workload between different conveyor belts at the same time? The previous application did not provide sufficient technical solutions. If manual intervention and manual scanning are still adopted, the scanning efficiency will still be relatively low, and the sorting efficiency will be difficult to improve

2. It has not effectively solved the position relationship of common packages such as special-shaped pieces and stacked pieces in the package queue, which brings unnecessary workload to the subsequent automatic sorting and automatic scanning operations, so such packages can only be handled manually Perform manual sorting and scanning

3. The above-mentioned prior art uses the sensor signal triggering method to separate and dispose, the processing speed is low, and it is difficult to meet the existing on-site sorting requirements of high-speed and large-volume parcels

4. The separated parcels are still in a messy discrete state without forming a single queue, which is still not conducive to the subsequent single scanning operation, and the proportion of omissions is still large, so it cannot be guaranteed that subsequent parcels can be correctly transported to the cross belt

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