Information Push System Using Image Recognition Frequency Analysis
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Solution Overview
Problem
Conventional information push technologies lack precision due to reliance on manual sample data and lack of technical support, resulting in low reliability and accuracy in delivering information to clients.
Innovation Solution
An information push method and system that acquires a photo of the client's environment, recognizes target objects using image recognition technology, and collects statistics on their frequency of appearance to push relevant information based on quantified data, thereby improving precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual survey sample data is used for information push, then the process is simple to implement, but the precision and reliability of information delivery is low
Solution Approach 1:
The patent replaces manual survey methods with automated image recognition technology. The system uses cameras to capture environmental images, automatically identifies target objects through image processing algorithms, and collects statistical data on object appearance frequencies. This substitution of mechanical manual survey with automated optical recognition systems achieves higher measurement precision while managing system complexity through specialized hardware integration.
Solution Approach 2:
The system performs self-service by automatically collecting environmental data, analyzing it through image recognition, and generating push information without requiring manual intervention. The automated pipeline captures images, processes them to identify objects, calculates appearance frequencies, and determines which information to push, eliminating the need for manual surveyors and enabling continuous autonomous operation.
2Reliability
If automated image recognition is used to collect statistical data, then the precision of information push is improved, but the device complexity increases
Solution Approach 1:
The patent implements multi-functionality by integrating multiple operations into a single unified system. The same image recognition system serves multiple purposes: capturing environmental images, identifying target objects, calculating appearance frequencies across different scenarios, and determining push information relevance. This universal approach improves reliability through consistent automated processing while managing complexity by consolidating functions rather than multiplying separate systems.
Data Source
AI summary
An information push method, includes acquiring a photo of an environment in which a client is located; recognizing a target object from the photo and collecting statistics on a frequency value or a frequency of appearance; and pushing related information of the target object to the client according to the frequency value or the frequency. An information push system, a digital television receiving terminal, and a computer storage medium are further provided. Statistics are collected on quantized data of how often a target object appears in an environment in which a client is located by using a scientific and technical means and the statistical data is used as a reference for push.