1. Amazon Rekognition<\/strong><\/h3>\nDeep learning based image recognition. Part of Amazon\u2019s AWS Ecosystem.<\/p>\n
2. Kairos cloud API<\/strong><\/h3>\nKairos is a company specializing in face recognition and detection.<\/p>\n
3. Google Cloud Vision API<\/strong><\/h3>\nImage analysis service based on machine learning by Google<\/p>\n
4. IBM Watson Visual Recognition<\/strong><\/h3>\nAnalyze images for scenes, objects, faces, and other content by IBM<\/p>\n
5. Microsoft Face API<\/strong><\/h3>\nImage and video analysis on faces. Part of Microsoft’s Cognitive Services Platform.<\/p>\n
Amazon Rekognition (Face Recognition) \u2013 Overview<\/strong><\/h4>\nFurthermore, Amazon Rekognition is a completely managed service that will permit you to extract data from images to make your solution smarter. Rekognition brings built-in object and scene detection and facial analysis competences.
\nMoreover, Amazon Rekognition works on deep learning, the underlying models will keep refining in accuracy over the time period, offering an enhanced service in a transparent pattern. It allows both real-time and bach processing. Rekognition includes a free tier of 5,000 images per month for the first 12 months of usage. It\u2019s already well incorporated with S3, Lex, and Polly.<\/p>\n
The service of Rekognition may store images and video inputs processed by the service solely to provide and maintain the service. Amazon does not use any personally identifiable information that may be contained in customer content to target products, services or marketing. The customer trusts privacy and the security of content are Amazon’s highest priority. The security team of Amazon implements appropriate and sophisticated technical and physical controls, designed to prevent unauthorized access.<\/p>\n
Amazon Rekognition (Face Recognition) \u2013 Detailed analysis<\/strong><\/h5>\nAmazon Rekognition is the easiest way to add features relating to images or videos processing to your solutions, especially if you are running your application on AWS cloud. Its services can identify faces, people, and activities among many other things once it is given image content. Amazon Rekognition is very widespread for its facial analysis service. It possesses an equally precise facial recognition ability that works on many kinds of images and videos. A developer can use this service to build solution features that can verify users, count the number of persons and create public safety applications. AWS is the biggest cloud service in the world which powers enormous amounts of data to improve its machine learning models as well.
\n![\"Nub8-Face](\"https:\/\/nub8.net\/wp-content\/uploads\/2019\/05\/Nub8-Face-Recognition-Amazon-Rekognition2.jpg\")
<\/p>\n
Nub8<\/a> have strong skillset in Amazon Rekognition based on solution implementations. With a strong profile in AWS, we\u2019re focused on bringing that knowledge and capability to customers through three layers of the AI stack:<\/h5>\n\n- \n
\n- Frameworks and Infrastructure with tools like Apache MXNet and TensorFlow.<\/li>\n
- API-driven Services like Amazon Lex, Amazon Polly and Amazon Rekognition to quickly add intelligence to applications.<\/li>\n
- Machine Learning Platforms such as Amazon SageMaker, Amazon Machine Learning and Apache Spark M.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
Kairos is a company specializing in face recognition and detection.<\/p>\n
3. Google Cloud Vision API<\/strong><\/h3>\nImage analysis service based on machine learning by Google<\/p>\n
4. IBM Watson Visual Recognition<\/strong><\/h3>\nAnalyze images for scenes, objects, faces, and other content by IBM<\/p>\n
5. Microsoft Face API<\/strong><\/h3>\nImage and video analysis on faces. Part of Microsoft’s Cognitive Services Platform.<\/p>\n
Amazon Rekognition (Face Recognition) \u2013 Overview<\/strong><\/h4>\nFurthermore, Amazon Rekognition is a completely managed service that will permit you to extract data from images to make your solution smarter. Rekognition brings built-in object and scene detection and facial analysis competences.
\nMoreover, Amazon Rekognition works on deep learning, the underlying models will keep refining in accuracy over the time period, offering an enhanced service in a transparent pattern. It allows both real-time and bach processing. Rekognition includes a free tier of 5,000 images per month for the first 12 months of usage. It\u2019s already well incorporated with S3, Lex, and Polly.<\/p>\n
The service of Rekognition may store images and video inputs processed by the service solely to provide and maintain the service. Amazon does not use any personally identifiable information that may be contained in customer content to target products, services or marketing. The customer trusts privacy and the security of content are Amazon’s highest priority. The security team of Amazon implements appropriate and sophisticated technical and physical controls, designed to prevent unauthorized access.<\/p>\n
Amazon Rekognition (Face Recognition) \u2013 Detailed analysis<\/strong><\/h5>\nAmazon Rekognition is the easiest way to add features relating to images or videos processing to your solutions, especially if you are running your application on AWS cloud. Its services can identify faces, people, and activities among many other things once it is given image content. Amazon Rekognition is very widespread for its facial analysis service. It possesses an equally precise facial recognition ability that works on many kinds of images and videos. A developer can use this service to build solution features that can verify users, count the number of persons and create public safety applications. AWS is the biggest cloud service in the world which powers enormous amounts of data to improve its machine learning models as well.
\n<\/p>\n
Nub8<\/a> have strong skillset in Amazon Rekognition based on solution implementations. With a strong profile in AWS, we\u2019re focused on bringing that knowledge and capability to customers through three layers of the AI stack:<\/h5>\n\n- \n
\n- Frameworks and Infrastructure with tools like Apache MXNet and TensorFlow.<\/li>\n
- API-driven Services like Amazon Lex, Amazon Polly and Amazon Rekognition to quickly add intelligence to applications.<\/li>\n
- Machine Learning Platforms such as Amazon SageMaker, Amazon Machine Learning and Apache Spark M.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
Analyze images for scenes, objects, faces, and other content by IBM<\/p>\n
5. Microsoft Face API<\/strong><\/h3>\nImage and video analysis on faces. Part of Microsoft’s Cognitive Services Platform.<\/p>\n
Amazon Rekognition (Face Recognition) \u2013 Overview<\/strong><\/h4>\nFurthermore, Amazon Rekognition is a completely managed service that will permit you to extract data from images to make your solution smarter. Rekognition brings built-in object and scene detection and facial analysis competences.
\nMoreover, Amazon Rekognition works on deep learning, the underlying models will keep refining in accuracy over the time period, offering an enhanced service in a transparent pattern. It allows both real-time and bach processing. Rekognition includes a free tier of 5,000 images per month for the first 12 months of usage. It\u2019s already well incorporated with S3, Lex, and Polly.<\/p>\n
The service of Rekognition may store images and video inputs processed by the service solely to provide and maintain the service. Amazon does not use any personally identifiable information that may be contained in customer content to target products, services or marketing. The customer trusts privacy and the security of content are Amazon’s highest priority. The security team of Amazon implements appropriate and sophisticated technical and physical controls, designed to prevent unauthorized access.<\/p>\n
Amazon Rekognition (Face Recognition) \u2013 Detailed analysis<\/strong><\/h5>\nAmazon Rekognition is the easiest way to add features relating to images or videos processing to your solutions, especially if you are running your application on AWS cloud. Its services can identify faces, people, and activities among many other things once it is given image content. Amazon Rekognition is very widespread for its facial analysis service. It possesses an equally precise facial recognition ability that works on many kinds of images and videos. A developer can use this service to build solution features that can verify users, count the number of persons and create public safety applications. AWS is the biggest cloud service in the world which powers enormous amounts of data to improve its machine learning models as well.
\n<\/p>\n
Nub8<\/a> have strong skillset in Amazon Rekognition based on solution implementations. With a strong profile in AWS, we\u2019re focused on bringing that knowledge and capability to customers through three layers of the AI stack:<\/h5>\n\n- \n
\n- Frameworks and Infrastructure with tools like Apache MXNet and TensorFlow.<\/li>\n
- API-driven Services like Amazon Lex, Amazon Polly and Amazon Rekognition to quickly add intelligence to applications.<\/li>\n
- Machine Learning Platforms such as Amazon SageMaker, Amazon Machine Learning and Apache Spark M.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
Furthermore, Amazon Rekognition is a completely managed service that will permit you to extract data from images to make your solution smarter. Rekognition brings built-in object and scene detection and facial analysis competences.
\nMoreover, Amazon Rekognition works on deep learning, the underlying models will keep refining in accuracy over the time period, offering an enhanced service in a transparent pattern. It allows both real-time and bach processing. Rekognition includes a free tier of 5,000 images per month for the first 12 months of usage. It\u2019s already well incorporated with S3, Lex, and Polly.<\/p>\n
The service of Rekognition may store images and video inputs processed by the service solely to provide and maintain the service. Amazon does not use any personally identifiable information that may be contained in customer content to target products, services or marketing. The customer trusts privacy and the security of content are Amazon’s highest priority. The security team of Amazon implements appropriate and sophisticated technical and physical controls, designed to prevent unauthorized access.<\/p>\n
Amazon Rekognition (Face Recognition) \u2013 Detailed analysis<\/strong><\/h5>\nAmazon Rekognition is the easiest way to add features relating to images or videos processing to your solutions, especially if you are running your application on AWS cloud. Its services can identify faces, people, and activities among many other things once it is given image content. Amazon Rekognition is very widespread for its facial analysis service. It possesses an equally precise facial recognition ability that works on many kinds of images and videos. A developer can use this service to build solution features that can verify users, count the number of persons and create public safety applications. AWS is the biggest cloud service in the world which powers enormous amounts of data to improve its machine learning models as well.
\n<\/p>\n
Nub8<\/a> have strong skillset in Amazon Rekognition based on solution implementations. With a strong profile in AWS, we\u2019re focused on bringing that knowledge and capability to customers through three layers of the AI stack:<\/h5>\n\n- \n
\n- Frameworks and Infrastructure with tools like Apache MXNet and TensorFlow.<\/li>\n
- API-driven Services like Amazon Lex, Amazon Polly and Amazon Rekognition to quickly add intelligence to applications.<\/li>\n
- Machine Learning Platforms such as Amazon SageMaker, Amazon Machine Learning and Apache Spark M.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
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- Frameworks and Infrastructure with tools like Apache MXNet and TensorFlow.<\/li>\n
- API-driven Services like Amazon Lex, Amazon Polly and Amazon Rekognition to quickly add intelligence to applications.<\/li>\n
- Machine Learning Platforms such as Amazon SageMaker, Amazon Machine Learning and Apache Spark M.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n