Use Cases
Automatic Video Preview
Valossa AI is able to extract autopreviews from video content automatically. It analyses video information to identify content highlights based on action, important people, activities and emotional engagement. Use autopreview to automate creation of promos and previews for the video content. Increase productivity, promote and adapt your content to new platforms.
AI-generated autopreview of Tears of Steel.
Content Monitoring
The most accurate content moderation solution with the widest coverage of concepts such as sensual and explicit nudity, sex, violence, accidents, substance use and bad language. Accurate timestamps of flagged content enables easy editing. Valossa AI’s operating speed is the fastest in the industry.
Recognition models can also be tailored to your use case.
Facial Recognition & Emotion Analysis
Valossa AI is able to recognize sentiments and emotions from facial expressions and speech, either from recorded video content or live feed.
Facial recognition picks out different individuals from video and creates a sentiment profile for each one. The user is able create their own face gallery or use an existing one for identification.
Using emotional analytics, the content metadata can be tagged based on which emotions are detected, and the user can easily compile scenes based on emotional criteria. Video Insight Tools also creates a data graph of how the detected emotions are changing (positive / negative) in the video.
See how Valossa AI facial recognition was used in the new health app by LocalTapiola and a live game show by YLE.
Industrial AI Applications
Detect machines and objects and automatically pull up specifications or fetch appropriate instructional videos from your library.
Monitor vehicles, objects and robots and the AI will alert the user when attention is needed.
Improve efficiency of logistics functions by monitoring inbound/outbound vehicle traffic and alerting of queues.
Content Profiling, Scene Indexing and Metadata
Use our market-leading Video Recognition API in the cloud or Video Recognition Server on your premises to extract detailed, time-based scene metadata on appearing people, objects, sounds, speech keywords and transcripts and other video attributes. Valossa AI profiles video documents with contextual topics that can be used in targeted advertising and other tasks that require gaining actionable insight over a collection of video content.
Recognize and inspect full AI analysis reports and search for specific scenes online with our powerful Video Insight Tools. You can manually upload and analyze video files, inspect and interact with content via visual reports and obtain downloadable .JSON and .SRT files for your own records and applications.
Human Analytics for Automotive
In order to make cars smarter on the passenger’s condition, and commuting more enjoyable, face analysis SDK recognition models can be used to monitor driver & passenger behavior, sentiments and direction of attention.
Human Analytics for Retail
Valossa Live AI can track customer behavior in retail environments to determine which sections and items are most eye-catching.
Customer emotions can be detected and analyzed for feedback purposes from faces.
Turnkey Machine Learning Services
Bootstrap new cognitive capabilities with Valossa AI. Customized builds for object detection, tracking and indexing for smart video applications.
Customer-specific recognition models are available, so the AI will recognize exactly the concepts relevant to you.
Detect and track people, vehicles and machinery for mointoring. Recognize models, characteristics and behaviour for analytics.
Sports Event Recognition
Identify instant highlights from live stream and quickly find and share the best moments from your archive. Valossa AI recognises a wide variety of concepts and events within sports. It recognizes faces, player numbers, actions, events and context that is most relevant for you. Custom models tailored for your content are available. Valossa can automatically produce highlight reels based on the metadata.
Brand Monitoring
Valossa AI recognizes hundreds of brands and logos, with plenty more to come. Use this to monetize and extract value from your video content, and make sure your brand is visible where you want it to be. Brand monitoring can be applied to real-time stream monitoring. Contact us to make sure that brands relevant to your content are recognized.
Live Face Analysis Toolkit
Live face analysis toolkit detects expressions and face positions and orientations, and enables a reactive avatar (mascot, animal etc.)
Next generation AI-powered and machine learning based applications for entertainment, expos, advertising, education etc.
Automatic Video Preview
Valossa AI is able to extract autopreviews from video content automatically. It analyses video information to identify content highlights based on action, important people, activities and emotional engagement. Use autopreview to automate creation of promos and previews for the video content. Increase productivity, promote and adapt your content to new platforms.
AI-generated autopreview of Tears of Steel.
Content Monitoring
The most accurate content moderation solution with the widest coverage of concepts such as sensual and explicit nudity, sex, violence, accidents, substance use and bad language. Accurate timestamps of flagged content enables easy editing. Valossa AI’s operating speed is the fastest in the industry.
Recognition models can also be tailored to your use case.
Facial Recognition & Emotion Analysis
Valossa AI is able to recognize sentiments and emotions from facial expressions and speech, either from recorded video content or live feed.
Facial recognition picks out different individuals from video and creates a sentiment profile for each one. The user is able create their own face gallery or use an existing one for identification.
Using emotional analytics, the content metadata can be tagged based on which emotions are detected, and the user can easily compile scenes based on emotional criteria. Video Insight Tools also creates a data graph of how the detected emotions are changing (positive / negative) in the video.
See how Valossa AI facial recognition was used in the new health app by LocalTapiola and a live game show by YLE.
Content Profiling, Scene Indexing and Metadata
Use our market-leading Video Recognition API in the cloud or Video Recognition Server on your premises to extract detailed, time-based scene metadata on appearing people, objects, sounds, speech keywords and transcripts and other video attributes. Valossa AI profiles video documents with contextual topics that can be used in targeted advertising and other tasks that require gaining actionable insight over a collection of video content.
Recognize and inspect full AI analysis reports and search for specific scenes online with our powerful Video Insight Tools. You can manually upload and analyze video files, inspect and interact with content via visual reports and obtain downloadable .JSON and .SRT files for your own records and applications.
Turnkey Machine Learning Services
Bootstrap new cognitive capabilities with Valossa AI. Customized builds for object detection, tracking and indexing for smart video applications.
Customer-specific recognition models are available, so the AI will recognize exactly the concepts relevant to you.
Detect and track people, vehicles and machinery for mointoring. Recognize models, characteristics and behaviour for analytics.
Sports Event Recognition
Identify instant highlights from live stream and quickly find and share the best moments from your archive. Valossa AI recognises a wide variety of concepts and events within sports. It recognizes faces, player numbers, actions, events and context that is most relevant for you. Custom models tailored for your content are available. Valossa can automatically produce highlight reels based on the metadata.
Brand Monitoring
Valossa AI recognizes hundreds of brands and logos, with plenty more to come. Use this to monetize and extract value from your video content, and make sure your brand is visible where you want it to be. Brand monitoring can be applied to real-time stream monitoring. Contact us to make sure that brands relevant to your content are recognized.
Facial Recognition & Emotion Analysis
Valossa AI is able to recognize sentiments and emotions from facial expressions and speech, either from recorded video content or live feed.
Facial recognition picks out different individuals from video and creates a sentiment profile for each one. The user is able create their own face gallery or use an existing one for identification.
Using emotional analytics, the content metadata can be tagged based on which emotions are detected, and the user can easily compile scenes based on emotional criteria. Video Insight Tools also creates a data graph of how the detected emotions are changing (positive / negative) in the video.
See how Valossa AI facial recognition was used in the new health app by LocalTapiola and a live game show by YLE.
Human Analytics for Automotive
In order to make cars smarter on the passenger’s condition, and commuting more enjoyable, face analysis SDK recognition models can be used to monitor driver & passenger behavior, sentiments and direction of attention.
Turnkey Machine Learning Services
Bootstrap new cognitive capabilities with Valossa AI. Customized builds for object detection, tracking and indexing for smart video applications.
Customer-specific recognition models are available, so the AI will recognize exactly the concepts relevant to you.
Detect and track people, vehicles and machinery for mointoring. Recognize models, characteristics and behaviour for analytics.
Facial Recognition & Emotion Analysis
Valossa AI is able to recognize sentiments and emotions from facial expressions and speech, either from recorded video content or live feed.
Facial recognition picks out different individuals from video and creates a sentiment profile for each one. The user is able create their own face gallery or use an existing one for identification.
Using emotional analytics, the content metadata can be tagged based on which emotions are detected, and the user can easily compile scenes based on emotional criteria. Video Insight Tools also creates a data graph of how the detected emotions are changing (positive / negative) in the video.
See how Valossa AI facial recognition was used in the new health app by LocalTapiola and a live game show by YLE.
Human Analytics for Retail
Valossa Live AI can track customer behavior in retail environments to determine which sections and items are most eye-catching.
Customer emotions can be detected and analyzed for feedback purposes from faces.
Turnkey Machine Learning Services
Bootstrap new cognitive capabilities with Valossa AI. Customized builds for object detection, tracking and indexing for smart video applications.
Customer-specific recognition models are available, so the AI will recognize exactly the concepts relevant to you.
Detect and track people, vehicles and machinery for mointoring. Recognize models, characteristics and behaviour for analytics.
Live Face Analysis Toolkit
Live face analysis toolkit detects expressions and face positions and orientations, and enables a reactive avatar (mascot, animal etc.)
Next generation AI-powered and machine learning based applications for entertainment, expos, advertising, education etc.
Industrial AI Applications
Detect machines and objects and automatically pull up specifications or fetch appropriate instructional videos from your library.
Monitor vehicles, objects and robots and the AI will alert the user when attention is needed.
Improve efficiency of logistics functions by monitoring inbound/outbound vehicle traffic and alerting of queues.
Turnkey Machine Learning Services
Bootstrap new cognitive capabilities with Valossa AI. Customized builds for object detection, tracking and indexing for smart video applications.
Customer-specific recognition models are available, so the AI will recognize exactly the concepts relevant to you.
Detect and track people, vehicles and machinery for mointoring. Recognize models, characteristics and behaviour for analytics.