VidiNet Cognitive Services on AWS
Automate Your Image and Video Analysis with Machine Learning
VidiNet Cognitive Services (VCS) integrates cognitive service provides, like AWS, into VidiCore and stores analysis metadata in a so called ADU (analyzed data unit). The ADU is a type of metadata field group containing cognitive analysis metadata, for example transcript data, celebrity detection, or content moderation. This metadata is gathered from one or more cognitive service providers and transformed into a standardized format when using the Vidinet Cognitive Services. This standardized format conforms to the VidiCore metadata model.
VidiNet Cognitive Services on AWS makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. Based on Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. This also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
VidiNet Cognitive Services utilizes Amazon Rekognition Video as a deep learning powered video analysis service that detects activities; understands the movement of people in frame; and recognizes people, objects, celebrities, and inappropriate content from your video stored in Amazon S3. Results are paired with time stamps so that you can easily create an index to facilitate highly detailed video search.
For images VidiNet Cognitive Serves uses Rekognition Image from AWS as a deep learning powered image recognition service that detects objects, scenes, and faces; extracts text; recognizes celebrities; and identifies inappropriate content in images. It also allows you to search and compare faces. Rekognition Image is based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images daily for Prime Photos. The service returns a confidence score for everything it identifies so that you can make informed decisions about how you want to use the results. In addition, all detected faces are returned with bounding box coordinates, which is a rectangular frame that fully encompasses the face that can be used to locate the position of the face in the image.
Let us help you get started with Amazon Rekognition on VidiNet. Contact us to get a free demo or let us help you create a customized trial based on your needs. You can find the contact info below.