Vidispine team
AWS Rekognition - image - header

AWS Rekognition

Automate your image and video analysis with machine learning.

Amazon Rekognition 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. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition 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.

Amazon Rekognition Video

Amazon Rekognition Video is 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 people and faces, Rekognition Video also returns the bounding box coordinates, which is the specific location of the person or face in the frame.

Amazon Rekognition Video can also monitor a live stream that you create from Amazon Kinesis Video Steams to detect and recognize faces from face data that you provide.

Key features

  • Object and scene detection 
  • Facial Recognition 
  • Facial Analysis
  • Face Comparison
  • Unsafe Image Detection
  • Celebrity Reconition
  • Text in image
  • Administration via API, Console, or command line
  • Administrative security
  • API summary
  • Human review

Amazon Rekognition Image

Rekognition Image is 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.

Key features

  • Object and scene detection
  • Facial recognition
  • Facial analysis
  • Face comparison 
  • Unsafe image detection
  • Celebrity recognition
  • Text in image
  • Administration vid API, Console, or command line
  • Administrative security 
  • API Summary 
  • Human review

Amazon Rekognition Custom Labels

With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can find your logo in social media posts, identify your products on store shelves, classify machine parts in an assembly line, distinguish healthy and infected plants, or detect animated characters in videos. Developing a custom model to analyze images is a significant undertaking that requires time expertise, and resources, often taking months to complete. Additionally, it often requires thousands or tens-of-thousands of hand-labeled images to provide the model with enough data to accurately make decisions. Generating this data can take months to gather and require large teams of labelers to prepare it for use in machine learning.

With Amazon Rekognition Custom Labels, we take care of the heavy lifting for you. Rekognition Custom Labels builds off of Rekognition’s existing capabilities, which are already trained on tens of millions of images across many categories. Instead of thousands of images, you simply need to upload a small set of training images (typically a few hundred images or less) that are specific to your use case into our easy-to-use console. If your images are already labeled, Rekognition can begin training in just a few clicks. If not, you can label them directly within Rekognition’s labeling interface, or use Amazon SageMaker Ground Truth to label them for you. Once Rekognition begins training from your image set, it can produce a custom image analysis model for you in just a few hours. Behind the scenes, Rekognition Custom Labels automatically loads and inspects the training data, selects the right machine learning algorithms, trains a model, and provides model performance metrics. You can then use your custom model via the Rekognition Custom Labels API and integrate it into your applications.

Key features

  • Simplify data labeling
  • Automated Machine learning
  • Simplified model evaluation, inference and feedback

Let us help you get started!

Let us help you get started with Amazon Rekognition in 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.


Your Contact for AWS Rekognition

Vidispine team
The Vidispine Team
Our sales team will be available at 09.00-17.00 CEST.