E-Song Multimodal Search Engine

E-Song Multimodal Search Engine
A high-performance AI search engine designed for professional search purposes.

What Is E-Song Multimodal Search Engine?



The E-Song Multimodal Search Engine is a high-performance AI-powered tool designed for professional search applications. It incorporates advanced AI capabilities, including content understanding, automatic content collection, and automatic clue organization.  This search engine can effectively search for specific objects, items, faces, text, voice, and event content. The search sources can include images, videos, social media, and more.  

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Notably, the E-Song Multimodal Search Engine stands out for its exceptional search speed and content comprehension. It can handle up to 100 million face searches per second. Additionally, it can interpret image content, such as inferring how a person might have looked at a younger age or recognizing their illustrated depiction. The engine can also perform event searches by analyzing event details, retrieving related information from media reports, and automatically generating reports.



Highly

Intelligent

Capable of

Web-Wide Search

Image Content

Understanding

Auto-Content

Collection

Auto-Clue

Organization

Auto-Report

Generation





Applicable Situations:


Fast and

Large-Scale Searches

Searches with Incomplete

Object Information

Event Clue

Collection


Applicable Situation 1


01
Fast Mass Search

In a large surveillance area, quickly search for objects in real-time monitoring data or historical surveillance data. For example: quickly locating a lost child in an amusement park, or police searching for a suspect in a city-wide public camera system.


The E-Song Multimodal Search Engine can be deployed on edge boxes or servers. When used with an AI Camera, it can perform up to 100 million face searches per second.



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Usage scenarios:

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Real-time people search/tracking

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Rapid evidence collection




Advantages:


01

Top recognition accuracy

Higher than well-known companies


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E-Song:76.1%

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Famous AI manufacturers:59.4%

(Conclusion: Not the same person)


02

Identifying extreme situations

Accurate recognition at extreme angles/high occlusion


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3D head reconstruction and recognition

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Mask recognition


03

Aging recognition

Recognition of people's appearance in different periods


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04

High fault tolerance

Maintain high-precision recognition under different cameras/image quality


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Dark Images

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Phone

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Mobile Camera


Applicable Situation 2


02
Relevant Content Search

Applicable in situations where the information is incomplete or the content is complex. Tasks can be assigned in a conversational format, similar to ChatGPT, and corresponding results can be provided based on the conversation's needs. 


 The powerful AI capabilities can understand the content of images, videos, or documents in the database, enabling the AI to recognize events. It can search for related images, videos, written records, and other content.




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Usage scenarios:

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Search for information in the database

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Large-scale search/tracking

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Evidence/clue collection




Advantages


01

Search multiple objects

People, Objects, Buildings, Text, Audio, Event


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02

ChatGPT-style search

Conversational questions, automatic content organization


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03

Image content understanding

Search for various targets


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Applicable Situation 3


03
Event Clue  Collection

AI can continuously read and search public social media content 24/7. It can track clues, automatically organize the search results, and generate log reports.




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Generates activities description and routines

from search results



Usage scenarios:

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Evidence/clue collection

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Historical information collection


Advantages


01

Search all Internet information

Collect the latest information according to conditions


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02

Auto-generation of summary /detailed reports

Generate reports in various formats


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03

Image content understanding /judgment

Understand the relationship between picture details and content and judge rationality


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Inappropriate content found

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Event-related image





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