Animal-identification-based finance and insurance method and system

Abstract

The invention discloses an animal-identification-based finance and insurance method and system. The method comprises: after signing of insuring agreements, an insured animal image is collected and obtained; a neural network model is constructed and the neural network model is trained by using the insured animal image to obtain an image feature identification model; and a to-be-identified animal image is received and the received image is inputted into the image feature identification model, a similarity degree between the to-be-identified animal and the insured animal is calculated to determine whether the to-be-identified animal is an insured animal, and if so, claim settlement is carried out based on the insuring agreements. According to the method disclosed by the invention, the insured animal image is processed by using the neural network model to calculate the similarity degree between the to-be-identified animal and the insured animal, so that the identification difficulty of the animal is reduced; and development of the finance, especially the insurance in the cultivation field is promoted, so that the incomes and benefits of the peasants especially cultivation farmers are increased.

Description

technical field [0001] The invention relates to the technical fields of financial insurance and animal identification, in particular to a financial insurance method and system based on animal identification. Background technique [0002] With the needs of economic development and the country's requirements for agricultural development, the role of the financial industry in promoting agriculture is becoming more and more important, especially in livestock insurance. A large number of financial products have been developed to help farmers, etc. These financial products In particular, insurance related to livestock is particularly important for the development of agriculture and the increase of farmers' income. These financial products, especially insurance, require a unique label for the life of related animals such as pigs. How to reasonably use technological means to identify related livestock has become a very important topic. In actual business, it often happens that the ...

AI Technical Summary

Problems solved by technology

These methods have the following disadvantages: 1. If the relevant signs are implanted on the animals, on the one hand, the farmers are not easy to accept. In addition, the cost is very high. At the same time, the relevant implants may cause the occurrence of animal diseases. Cause corresponding risks; 2. The implanted logo or label may move on the skin or muscle layer with the animal's activities, making it difficult to obtain and identify these logos in the later stage; 3. During the movement of animals / livestock, there are It may cause the loss or loss of relevant signs, thus losing the role of signs; 4. There are risks in experience and morality for artificial identification of animals; 5. Mutual insurance cannot solve the problem of livestock or animal identification, so it cannot reduce related cost

Therefore, none of the above methods can achieve fast, effective, low-cost, and accurate identification of related animals, thereby reducing related identification costs

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