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Big data classification statistics method based on image recognition technology

A technology of image recognition and classification statistics, applied in the field of image recognition, can solve problems such as difficulty in improvement, few directions of data statistics, upgrade, etc., and achieve the effect of improving recognition accuracy, efficiency, and high accuracy

Pending Publication Date: 2020-12-15
南京智能仿真技术研究院有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a big data classification and statistics method based on image recognition technology, to solve the problem that the image recognition proposed in the background technology has few directions for data statistics, and the accuracy of the data statistics results is not enough, and the improvement is relatively difficult. Difficult, a problem that requires an overall system upgrade

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Image recognition is used to count the number of people in scenic spots:

[0029] The specific steps of the big data classification and statistics method based on image recognition technology are as follows:

[0030] S1: Establish an image recognition system: establish an image recognition system according to the needs of use. The image recognition system is a deep learning image recognition system based on a neural network, and the image recognition system is trained to recognize people. The image recognition system can recognize people. In order to obtain the information of the identified person, the image recognition system can meet the target recognition and can output the recognition result. The steps of establishing the image recognition system include: establishing an image recognition model, image preprocessing and feature extraction. The image recognition The system removes interference information from the image to be recognized through image preprocessing, ex...

Embodiment 2

[0035] Image recognition is used for traffic flow statistics:

[0036] The specific steps of the big data classification and statistics method based on image recognition technology are as follows:

[0037] S1: Establish an image recognition system: establish an image recognition system according to the needs of use. The image recognition system is a deep learning image recognition system based on a neural network, and the image recognition system is trained for recognition. The license plate of the vehicle is used as the recognition object. The image recognition system can Recognize the license plate, so as to obtain the information of the recognized vehicle, so that the image recognition system can meet the recognition of the target and can output the recognition result. The steps of establishing the image recognition system include: establishing an image recognition model, image preprocessing and feature extraction, The image recognition system removes interference informati...

Embodiment 3

[0042] Image recognition is used for statistics of the growth status of chickens:

[0043] The specific steps of the big data classification and statistics method based on image recognition technology are as follows:

[0044] S1: Establish an image recognition system: establish an image recognition system according to the needs of use. The image recognition system is a deep learning image recognition system based on a neural network, and the image recognition system is trained for recognition. Taking farmed chickens as the recognition object, the image recognition system can recognize breeding chickens. Chicken, for the walking state of the farmed chicken (the farmed chicken walks weakly and slowly, it is regarded as a sick state), so that the image recognition system can meet the recognition of the target and can output the recognition result. The steps of establishing the image recognition system include: Establish image recognition model, image preprocessing and feature extra...

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Abstract

The invention belongs to the technical field of image recognition, and particularly relates to a big data classification statistics method based on an image recognition technology, wherein the big data classification statistics method based on the image recognition technology comprises the following specific steps: S1, establishing an image recognition system: establishing the image recognition system according to use requirements, and performing recognition training on the image recognition system, and enabling the image recognition system to meet the recognition of a target object and outputa recognition result; S2, carrying out image recognition and result acquisition: outputting an image recognition result according to the recognition result in the step S1; S3, carrying out classifiedstatistics on image recognition results; and S4, carrying out feedback improvement on the recognition accuracy. An autonomous learning improvement mechanism is provided, the method can be suitable for different use conditions, and the recognition accuracy is continuously improved in a learning improvement mode. Through an electronic information recognition mode, the efficiency is significantly improved compared with a manual recognition mode, and through a continuous learning mode, the accuracy is relatively high.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a large data classification and statistical method based on image recognition technology. Background technique [0002] Image recognition refers to the technology of using computers to process, analyze and understand images to identify targets and objects in various patterns. Image recognition is an important field of artificial intelligence. The main image recognition methods include image recognition methods based on neural networks, image recognition methods based on wavelet moments, and so on. In general industrial use, industrial cameras are used to take pictures, and then software is used to further identify and process them according to the gray scale difference of the pictures. In addition, in geography, it refers to the technology of classifying remote sensing images. [0003] Image recognition is rarely used for data statistics, and the accuracy of data stat...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F16/28G06N3/08
CPCG06F16/285G06N3/08G06F18/214
Inventor 康童茜
Owner 南京智能仿真技术研究院有限公司