If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported. In response, the API returns an array of labels. Images stored in an S3 bucket do not need to be base64-encoded. Each ancestor is a unique label in the response. The default value is NONE . The Kinesis video stream input stream for the source streaming video. To get the results of the person path tracking operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED . It can detect any inappropriate content as well. You also specify the face recognition criteria in Settings . The DetectText operation returns text in an array of TextDetection elements, TextDetections . If there is more than one region, the word will be compared with all regions of the screen. To be detected, text must be within +/- 90 degrees orientation of the horizontal axis. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. The CelebrityFaces and UnrecognizedFaces bounding box coordinates represent face locations after Exif metadata is used to correct the image orientation. The bounding box coordinates are translated to represent object locations after the orientation information in the Exif metadata is used to correct the image orientation. Use DescribeProjectVersion to get the current status of the training operation. StartSegmentDetection returns a job identifier (JobId ) which you use to get the results of the operation. An array of segments detected in a video. Question: What different data we can get from Rekognition?--Detect Objects and scenes that appear in photo/video.--Face-based user verification.--Detect Sentiment such as happy, sad, or surprise Low represents the lowest estimated age and High represents the highest estimated age. The Amazon S3 bucket name and file name for the video. A person detected by a call to DetectProtectiveEquipment . This operation detects faces in an image and adds them to the specified Rekognition collection. Use TechnicalCueFilter ( StartTechnicalCueDetectionFilter ) to filter technical cues. Filter focusing on a certain area of the frame. The location of the data validation manifest. If so, call GetFaceDetection and pass the job identifier (JobId ) from the initial call to StartFaceDetection . The confidence, in percentage, that Amazon Rekognition has that the recognized face is the celebrity. DetectLabels also returns a hierarchical taxonomy of detected labels. The label detection operation is started by a call to StartLabelDetection which returns a job identifier (JobId ). The identifier for the search job. if so, call GetSegmentDetection and pass the job identifier (JobId ) from the initial call to StartSegmentDetection . ALL - All facial attributes are returned. During training model calculates a threshold value that determines if a prediction for a label is true. For more information, see Images in the Amazon Rekognition developer guide. Includes an axis aligned coarse bounding box surrounding the object and a finer grain polygon for more accurate spatial information. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. To obtain your AWS account credentials see the AWS documentation. An array of URLs pointing to additional information about the celebrity. An array of personal protective equipment types for which you want summary information. For non-frontal or obscured faces, the algorithm might not detect the faces or might detect faces with lower confidence. Specifies the confidence that Amazon Rekognition has that the label has been correctly identified. For example, you can get the current status of the stream processor by calling DescribeStreamProcessor . To get the next page of results, call GetSegmentDetection and populate the NextToken request parameter with the token value returned from the previous call to GetSegmentDetection . The name of the human review used for this image. This operation deletes a Rekognition collection. To get the version of the face model associated with a collection, call DescribeCollection . By default, the array is sorted by the time(s) a person's path is tracked in the video. Specifies a location within the frame that Rekognition checks for text. A token to specify where to start paginating. The prefix applied to the training output files. Filters for technical cue or shot detection. An array of facial attributes that you want to be returned. The value of OrientationCorrection is always null. The type of the segment. You can use Name to manage the stream processor. To specify which attributes to return, use the Attributes input parameter for DetectFaces . Face details for the recognized celebrity. The Amazon Resource Name (ARN) of the collection. Since video analysis can return a large number of results, use the MaxResults parameter to limit the number of labels returned in a single call to GetContentModeration . The Amazon Resource Name (ARN) of the flow definition. This operation requires permissions to perform the rekognition:CreateCollection action. 100 is the highest confidence. The identifier for the unsafe content analysis job. arn:aws:rekognition:us-east-1:123456789012:project/getting-started/version/*my-model.2020-01-21T09.10.15* /1234567890123 . I wanted to know if anyone knows how to integrate AWS Rekognition in Swift 3. Rekognition API can be accessed through AWS CLI or SDK for the desired programming language and implementing the code. The default is 55%. Use Video to specify the bucket name and the filename of the video. The confidence that Amazon Rekognition has in the accuracy of the detected text and the accuracy of the geometry points around the detected text. If so, and the Exif metadata for the input image populates the orientation field, the value of OrientationCorrection is null. Information about a face detected in a video analysis request and the time the face was detected in the video. Filtered faces aren't compared. To determine whether a TextDetection element is a line of text or a word, use the TextDetection object Type field. You specify which version of a model version to use by using the ProjectVersionArn input parameter. How to use: Use RekDetectFaces and RekDetectLabels actions in order to consume AWS. The persons detected where PPE adornment could not be determined. Optional parameters that let you set the criteria that the text must meet to be included in your response. Use JobId to identify the job in a subsequent call to GetContentModeration . Sets confidence of word detection. Provides information about the celebrity's face, such as its location on the image. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images, as well as detect any inappropriate content. For more information, see StartProjectVersion . That is, data returned by this operation doesn't persist. BillableTrainingTimeInSeconds (integer) --. If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of text. You can then use the index to find all faces in an image. For more information, see Detecting Faces in a Stored Video in the Amazon Rekognition Developer Guide. This operation detects labels in the supplied image. var rekognition = new aws.Rekognition({ accessKeyId: process.env.S3_ACCESS_KEY, secretAccessKey: process.env.S3_BUCKET_ACCESS_SECRET, Your access key ID should be your AWS access key not S3 access key. For each face, the algorithm extracts facial features into a feature vector, and stores it in the backend database. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value. StartTextDetection returns a job identifier (JobId ) which you use to get the results of the operation. To get the results of the text detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED . CompareFaces also returns an array of faces that don't match the source image. Information about the faces in the input collection that match the face of a person in the video. Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination. If the segment is a shot detection, contains information about the shot detection. Starts asynchronous detection of unsafe content in a stored video. Amazon Rekognition doesn't return any labels with confidence lower than this specified value. This is a stateless API operation. Information about the unindexed faces is available in the UnindexedFaces array. For each face match, the response provides a bounding box of the face, facial landmarks, pose details (pitch, role, and yaw), quality (brightness and sharpness), and confidence value (indicating the level of confidence that the bounding box contains a face). For more information, see Searching Faces in a Collection in the Amazon Rekognition Developer Guide. The video must be stored in an Amazon S3 bucket. If the type of detected text is LINE , the value of ParentId is Null . This operation requires permissions to perform the rekognition:SearchFacesByImage action. If you specify NONE , no filtering is performed. The value of SourceImageOrientationCorrection is always null. To get the results of the person detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED . For more information, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide. Value representing the face rotation on the yaw axis. The image must be either a.png or.jpeg formatted file. To get the next page of results, call GetTextDetection and populate the NextToken request parameter with the token value returned from the previous call to GetTextDetection . The quality bar is based on a variety of common use cases. For an example, see Searching for a Face Using Its Face ID in the Amazon Rekognition Developer Guide. Description: Amazon Rekognition Video is a machine learning powered video analysis service that detects objects, scenes, celebrities, text, activities, and any inappropriate content from your videos stored in Amazon S3. An array of faces that matched the input face, along with the confidence in the match. If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of labels. The JobId is returned from StartSegmentDetection . Information about a detected celebrity and the time the celebrity was detected in a stored video. Deletes an Amazon Rekognition Custom Labels model. A line is a string of equally spaced words. Includes an axis aligned coarse bounding box surrounding the text and a finer grain polygon for more accurate spatial information. Boolean value that indicates whether the face is wearing eye glasses or not. Sets the minimum height of the word bounding box. If you are not familiar with A WS Rekognition, it is the AWS tool that offers capabilities for image and video analysis. Compares a face in the source input image with each of the 100 largest faces detected in the target input image. Version number of the moderation detection model that was used to detect unsafe content. Use Video to specify the bucket name and the filename of the video. Using AWS Rekognition, you can build applications to detect objects, scenes, text, faces or even to recognize celebrities and identify inappropriate content in images like nudity for instance. 100 is the highest confidence. The value of the X coordinate for a point on a Polygon . The X and Y coordinates of a point on an image. Indicates the location of the landmark on the face. All my code can be found on github. For each object, scene, and concept the API returns one or more labels. Low-quality detections can occur for a number of reasons. Date and time the stream processor was created. Detailed status message about the stream processor. A description of a Amazon Rekognition Custom Labels project. A single inference unit represents 1 hour of processing and can support up to 5 Transaction Pers Second (TPS). If so, call GetContentModeration and pass the job identifier (JobId ) from the initial call to StartContentModeration . An array of faces that match the input face, along with the confidence in the match. You pass image bytes to an Amazon Rekognition API operation by using the Bytes property. This value is only returned if the model version has been successfully trained. Words with bounding box heights lesser than this value will be excluded from the result. If you click on their "iOS Documentation", it takes you to the general iOS documentation page, with no signs of Rekognition in any section. Top coordinate of the bounding box as a ratio of overall image height. Rekognition Image lets you easily build powerful applications to search, verify, and organize millions of images. The bounding box around the face in the input image that Amazon Rekognition used for the search. You can't delete a model if it is running or if it is training. An array of faces in the target image that match the source image face. A filter that specifies a quality bar for how much filtering is done to identify faces. The video must be stored in an Amazon S3 bucket. Storage and region For rekognition to work, the source file must be located in a bucket whose region supports the rekognition service, i.e if we have an S3 bucket in Ireland (eu-west-1) we need to make sure that the rekognition job is started in Ireland as well. For Amazon Rekognition to process an S3 object, the user must have permission to access the S3 object. Includes the collection to use for face recognition and the face attributes to detect. Along with the metadata, the response also includes a confidence value for each face match, indicating the confidence that the specific face matches the input face. A version name is part of a model (ProjectVersion) ARN. For example, if the input image shows a flower (for example, a tulip), the operation might return the following three labels. Default is 80. The current status of the label detection job. The detected unsafe content labels and the time(s) they were detected. A label can have 0, 1, or more parents.

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