Wood microspur feature image acquisition and AI identification system

Abstract

The invention discloses a wood microspur feature image acquisition and AI identification system, which comprises a client, a database, a service terminal and a wood image AI identification module, and is characterized in that the client is used for receiving user operation, the database is used for storing user data, and the service terminal comprises a security authentication module and a business processing module; the wood image AI identification module is used for identifying a to-be-identified wood image to obtain wood type information of wood, the client receives a login request and sends the login request to the server, and after the server receives the login request, the security authentication module verifies whether login information of a user is correct by comparing user data in a user database; and the business processing module identifies the wood image through the wood image AI identification module and feeds back an identification result to the client. According to the system, clearer wood images are obtained through the microspur image acquisition terminal, the recognition accuracy is improved, meanwhile, the load balancer is adopted, the system workload is simplified, the operation is simple, and the use is convenient.

Description

technical field [0001] The invention relates to the field of wood identification, in particular to a wood macro feature image acquisition and AI identification system. Background technique [0002] At present, the identification of wood types is mainly carried out by professionals in the laboratory environment, relying on magnifying glasses, microscopes and other equipment to observe the macroscopic and microscopic characteristics of wood, and determine the wood type after comparing with standard samples. Each kind of wood forms a unique macroscopic and microscopic structure during the growth process, but there are many types of wood. Even the same kind of wood has certain differences in its macroscopic and microscopic structures due to location, climate and nutrition. The phenomenon of similarity between species and differences within species increases the difficulty of wood species identification. In addition, experts with knowledge of wood taxonomy are scarce on the front...

AI Technical Summary

Problems solved by technology

The phenomenon of similarity between species and differences within species increases the difficulty of wood species identification. In addition, experts with knowledge of wood taxonomy are scarce on the front line of my country's timber trade and supervision, and wood or wood products are frequently traded. There is a strong professionalism in wood species identification methods based on artificial , heavy tasks, long period, high risk, and non-real-time performance, which cannot meet the real-time and high-efficiency needs of timber supervision, and a fast and accurate timber species identification method is urgently needed

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