A system and application method for intelligent image recognition for big data collection and analysis

Abstract

The invention discloses an intelligent image recognition system for big data collection and analysis and an application method thereof, and relates to the technical field of intelligent data analysis. The system of the present invention includes an intelligent cloud server; the intelligent cloud server includes a computing server and a storage server, and the computing server is equipped with a data reading module, a video stream data processing module, an AI image recognition module, a data storage module, and a model tuning module. In the image recognition system, the storage server is provided with an interactively connected video stream storage database, a video stream management module, and a data center database. The invention restores consumers' non-private real digital behaviors and produces more commercial value. In this process, there are no problems of delay, omission, slow speed, large errors, and high costs, and solves the bottleneck of consumers' real-time digital behavior analysis. Make business analysis closer to reality, bring more valuable analysis results to the brand side, and guide the brand to optimize the consumption path globally.

Description

technical field [0001] The invention belongs to the technical field of intelligent data analysis, and in particular relates to a system for collecting and analyzing large data by intelligent image recognition and an application method of the system for collecting and analyzing large data by intelligent image recognition. Background technique [0002] With the development of society, the current collection and analysis of user digital behavior data, and the regularization and utilization to generate commercial value have great application prospects. When enterprises carry out commercial marketing of products or services, they need to master this category Competitors’ products or services and the display of their own products or services, including specific digital behavior data such as brands, products, and advertisements, for market researchers to analyze. On terminals that generate user digital behavior data, including mobile phones, tablets, computers, smart TVs, etc., if ...

AI Technical Summary

Problems solved by technology

On terminals that generate user digital behavior data, including mobile phones, tablets, computers, smart TVs, etc., if the video stream data generated by them needs to collect user digital behavior data, the existing operation is to use manual data processing, and researchers will need to Researched video delivery that requires the collection of data and behavior data, through manual search and labeling, pick out specific digital behavior data including brands, products, advertisements, etc. in the video stream one by one, and list them, second by second The data is easily missed, and the error is large, the manual operation is slow, the cost is high, and the quality of manual digital behavior data collection and analysis is uneven, which cannot be accurately controlled; compared with manual data collection and analysis, The computer analyzes the data that brands care about and consumers care about, and conducts modular analysis, which has the advantages of fast speed, high efficiency, precision, and not easy to miss, which cannot be achieved by manual work

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