PARTNERSHIP / APOLLON

Apollon OMN with integrated DeepVA AI services

About apollon

apollon is a leading software provider for the automation of product data commu­ni­cation and data distri­b­ution in omnichannel commerce. Through various services for automated content refinement with artificial intel­li­gence and seamless integration into existing system archi­tec­tures, apollon helps companies drive their digiti­zation success.

DeepVA product used

Benefits

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AI in your workflow

With the integration of DeepVA into Online Media Net (OMN), we can help users accel­erate their content creation processes through integrated AI services. Through features such as Face Recog­nition, Face Attributes, Diversity Analysis, Aspect Ratio Detection, Visual Concept Recog­nition, Speech-to-Text, as well as training of custom AI models, images can be recog­nized and content automat­i­cally tagged. This helps users intel­li­gently classify and process the recog­nized content.

OMN PIM: Advanced Product Data Management

OMN Product Infor­mation Management (PIM) is an integral part of the advanced OMN Product Experience Management Suite. It helps manufac­turers and retailers create, aggregate, manage, maintain, optimize, enrich, and syndicate their product data to meet the specific needs of their customers, taking into account channel, location, and personalized/contextual require­ments. Since OMN PIM has several open inter­faces, data can be imported from other systems (e.g., master data from ERP) and exported directly to all channels or exchanged via API. Quality analyses allow users to check whether existing product data is correct and complete before it is played out to the channels. This ensures that correct and up-to-date product data is played out. The Online Media Net software suite is charac­terized by excellent usability, scala­bility, and flexi­bility. Product infor­mation and digital assets are managed holis­ti­cally and centrally in OMN; data silos are a thing of the past.

OMN DAM: Advanced Asset Management

OMN Digital Asset Management (DAM) is another part of the advanced OMN Product Experience Management that helps organize, orches­trate, optimize, enrich and syndicate asset data. It has many compre­hensive features and many ways to process content with the help of AI. This includes DeepVA services that can be applied directly to any asset stored in OMN. OMN DAM works perfectly with OMN PIM, but can also be used as a stand-alone solution.

You can find more infor­mation here.

Benefits for the user

DAM solution powered by AI

Improved management and organi­zation of face data models and databases through leading DeepVA AI services.

Highest automation

Stream­lined processes and reduced manual inter­vention with AI services and a powerful workflow engine.

Deep Integration

Seamless utilization of DeepVA’s services for accurate face recog­nition, analysis, and dataset creation, enhancing overall effec­tiveness

DeepVA functions

DeepVA features integrated into OMN PIM

Face recog­nition

Face Recog­nition detects and identifies the faces of public figures in a variety of categories such as politics, sports, business, and enter­tainment.

Face attributes

Face Attributes recog­nizes emotions and facial charac­ter­istics such as “beard”, “eyes closed” or “glasses” of all persons appearing in pictures or videos.

Diversity analysis

Diversity Analysis offers the possi­bility to determine the percentage of gender and age occur­rence in images or videos.

Visual concepts recog­nition

Object and scene recog­nition detects and labels various objects and scenes, from general to more specific ones.

Speech-to-Text

Often the spoken word alone is not enough: transcription is needed. Our Speech to Text function automates this process.

Aspect ratio detection

Detect the format of your images and videos and intel­li­gently crop them to suit your needs.

DeepVA Face Training Function

Face Training

In just a few seconds, new faces are trained using our face training technology and are ready for use in Recog­nition Services.

Fabian Linder

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