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
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
You can find more information here.
Benefits for the user
DeepVA features integrated into OMN PIM
Face Recognition detects and identifies the faces of public figures in a variety of categories such as politics, sports, business, and entertainment.
Face Attributes recognizes emotions and facial characteristics such as "beard", "eyes closed" or "glasses" of all persons appearing in pictures or videos.
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.
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.
In just a few seconds, new faces are trained using our face training technology and are ready for use in Recognition Services.