AI Vision Engines
Identify and extract details from pictures and videos with computer vision.
License Plate Recognition
Produce text strings of alphanumeric characters appearing in license plates recognized in images or video.
License Plate Recognition runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.
License Plate Recognition — also known as Automated License Plate Recognition (ALPR) — engines in the Veritone cognitive engine ecosystem detect license plates and extract text strings off these license plates in images or videos to extract time-saving, actionable insights from large data volumes. Applications include law enforcement, government and insurance, to name a few
License Plate Recognition Features:
Near Real-Time Processing
Process pictures and video files in near real-time for use cases requiring a fast turnaround of license plate text in data sets such as CCTV, mobile phone video, and more.
Flexible Deployment
Deploy in a new or integrate into an existing application in the cloud via aiWARE GraphQL APIs, or with a subset that can be deployed on-premise via a Docker container. Learn more.
Long-Form Video Support
Extract license plate text from short-form or long-form video recordings.
Powered by an AI Ecosystem
Leverage advanced license plate recognition machine learning algorithms from the Veritone managed cognitive engine ecosystem– including algorithms from Veritone, niche providers, and industry giants.
Logo Detection
Recognize logos and branding elements in images or video.
Logo Detection runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.
Logo Detection — often referred to as logo recognition — engines in the Veritone cognitive engine ecosystem detect and identify images that represent specific retailers, sports teams, media networks, products, companies, and more in images and video. Logo detection finds use in gauging brand mentions across social media, or locating occurrences of copyright infringement.
Logo Detection Features:
Trainable with Custom Libraries
Create custom models using logos in images or video specific to your use case with the Veritone Library application or annotation tool as well as API.
Searchable Results
Identify the logos and brands you are looking for quickly within images and video with searchable logo detection engine output via API and Veritone applications.
Long-Form Video Support
Recognize logos in short-form or long-form video recordings.
Powered by an AI Ecosystem
Leverage advanced logo detection machine learning algorithms from the Veritone managed cognitive engine ecosystem — including algorithms from Veritone, niche providers, and industry giants.
Broad Pre-Trained Logo Library
Identify hundreds of logos including sports teams, broadcasters, brands, and more in video and images with Veritone’s pre-trained library.
Near Real-Time Processing
Process pictures and video files in near real-time for use cases requiring fast turnaround of logos recognized in data sets such as broadcasts, advertisements, and more.
Flexible Deployment
Deploy in a new or integrate into an existing application in the cloud via aiWARE GraphQL APIs, or with a subset that can be deployed on-premise via a Docker container. Learn more.
Object Detection
Detect one or multiple objects or concepts, such as colors, in an image or video.
Object Detection runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.
Object Detection — often referred to as object recognition — engines in the Veritone cognitive engine ecosystem detect the presence of one or multiple objects within video or still images, including vehicles, people, animals, and more. For example, satellite images can be automatically reviewed for anomalies, or hazards automatically detected on roads and runways.
Object Detection Features:
Trainable with Custom Libraries
Create custom models using objects in images or video specific to your use case with the Veritone Library application or annotation tool.
Searchable Results
Identify the objects you are looking for quickly by label within images and video with searchable object detection engine output via API and Veritone applications.
Files or Stream Support
Recognize objects in short-form or long-form videos in video recordings, streamed video recordings or images, or live video or image streams.
Powered by an AI Ecosystem
Leverage advanced object detection machine learning algorithms from the Veritone managed cognitive engine ecosystem — including algorithms from Veritone, niche providers, and industry giants.
Broad Pre-Trained Object Library
Identify thousands of objects including vehicles, people, animals, landmarks, weapons, colors, food, art, apparel, and more in video and images with pre-trained labeling.
Near Real-Time Processing
Process pictures and video files in near real-time for use cases requiring fast turnaround of objects detected in data sets such as broadcasts, CCTV, still image collections, and more.
Flexible Deployment
Deploy in a new or integrate into an existing application in the cloud via aiWARE GraphQL APIs, or with a subset that can be deployed on-premise via a Docker container. Learn more.
Text Recognition
Convert alphanumeric characters in documents, images, or video into text strings.
Text Recognition runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.
Text Recognition — also known as Optical Character Recognition (OCR) — engines in the Veritone cognitive engine ecosystem recognize text in unstructured, image-based data such as a sign in a picture, a screenshot of a computer document, or a news headline in a video clip, and express that recognized text in a structured format. Image and video OCR can be used to quickly locate key words displayed in thousands of images or hours of video.
Text Recognition Features:
Trainable with Custom Libraries
Create custom models using text in images specific to your use case with the Veritone Library application or annotation tool.
Near Real-Time Processing
Process pictures and video files in near real-time for use cases requiring a fast turnaround of unstructured, image-based data to structured text.
Flexible Deployment
Deploy in a new or integrate into an existing application in the cloud via aiWARE GraphQL APIs, or with a subset that can be deployed on-premise via a Docker container. Learn more.
Searchable Results
Identify the text you are looking for quickly within images with searchable text recognition engine output via API and Veritone applications.
Long-Form Video Support
Extract text from short-form or long-form files in video recordings.
Powered by an AI Ecosystem
Leverage advanced text recognition machine learning algorithms from the Veritone managed cognitive engine ecosystem — including algorithms from Veritone, niche providers, and industry giants.
Your vision, powered by AI.
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