A machine vision-based cargo delivery obstacle recognition system and method

Abstract

The invention discloses a machine vision-based cargo transportation obstacle identification system and method, comprising: a transportation data acquisition module, a database, an obstacle detection module, a machine vision identification module, a missing cargo retrieval module, and a traffic analysis module. The module collects cargo images and equipment delivery cargo data, and uses the obstacle detection module to detect in real time whether there are obstacles during the transportation process. If an obstacle is detected, the machine vision recognition module takes an image of the obstacle, compares it with the cargo image, and judges the obstacle Whether the goods are dropped by other transport equipment, find the goods transport equipment through the cargo missing retrieval module, and remind that there are goods dropped, compare the space capacity, control the carrying and transport of the dropped goods, and analyze whether the current transport equipment is available through the traffic analysis module It is necessary to change the delivery route, which helps to quickly find the missing goods while improving the delivery efficiency, and reduces the cost of goods loss.

Description

technical field [0001] The invention relates to the technical field of cargo transportation obstacle identification, in particular to a machine vision-based cargo transportation obstacle identification system and method. Background technique [0002] With the development of the market economy, the material living standard is gradually improved, and the products that meet the market demand are increasing. For the best-selling products with a large consumer group, a certain amount of goods are usually stored in the warehouse. The goods are proposed according to market needs and packaged for delivery. However, due to the large amount of goods to be picked up and transported, a large number of personnel are required to operate, which reduces work efficiency and seriously affects the cost of goods delivery. In the prior art, a large number of automatic logistics delivery equipment have appeared, and the use of delivery equipment to deliver goods has greatly increased the cost of g...

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Problems solved by technology

[0004] However, there are many problems in the delivery process of the delivery equipment in the prior art: First, the delivery equipment generally has an automatic obstacle avoidance function to identify and avoid obstacles, but the delivery equipment generally only recognizes whether there are obstacles on the delivery route. There is more than one transport equipment, and there is a possibility that the transport equipment will drop the goods. The traditional identification method cannot take into account whether the obstacle is the situation of falling goods, and cannot avoid obstacles at the same time. Help to find the dropped goods in a timely manner; secondly, after recognizing the obstacles, the equipment will generally change the route automatically, without considering whether it can pass through, prolonging the transportation distance and time, and reducing the transportation efficiency

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