Sold by: SeamfixÂ
Deployed on AWS
Ensure accurate identification of facial images with Facial Recognition Algorithm by Seamfix.
Overview
Facial Recognition Algorithm by Seamfix is a cutting-edge facial recognition tool with which you can compare and match human faces accurately and in record time. It relies on advanced AI-powered technology to recognize facial images from various angles and under different lighting conditions, making it ideal for a wide range of applications.
Transform the way you interact with facial images for identity verification, security systems set up and access control processes with Facial Recognition Algorithm by Seamfix.
Highlights
- Level Up Your Facial Recognition: Face Match by Seamfix accurately compares and matches human faces within seconds.
- Enjoy Accuracy: Face Match by Seamfix relies on advanced AI technology to ensure accuracy of results.
- Ensure Improved Image Quality: Face Match by Seamfix recognizes faces from various angles and lighting conditions, so only accurate images are approved.
Details
Sold by
Delivery method
Latest version
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost |
|---|---|---|
ml.m4.xlarge Inference (Batch) Recommended | Model inference on the ml.m4.xlarge instance type, batch mode | $0.95/host/hour |
inference.count.m.i.c Inference Pricing | inference.count.m.i.c Inference Pricing | $0.95/request |
Vendor refund policy
Kindly contact us via email support@seamfix.comÂ
Legal
Vendor terms and conditions
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Content disclaimer
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Detects face i pair of images and returns the similairty score between faces
Additional details
Inputs
- Summary
{"source_image": source_img_base64,"target_image": target_img_base64}
- Limitations for input type
- 10MB for each image
- Input MIME type
- application/json
https://github.com/seamfix/seamfix-AWSmarketplace/blob/main/data/input/real-time/image.jpg
https://github.com/seamfix/seamfix-AWSmarketplace/blob/main/data/input/real-time/image.jpg
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
source_image | source_image: source image to be matched with 2nd. image target_image: target image to be matched with source image | Type: FreeText
Limitations: 20MB | Yes |
target_image | source_image: source image to be matched with 2nd. image target_image: target image to be matched with source image | Type: FreeText
Limitations: 20MB | Yes |
Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Authenticate customers with ease and level up your onboarding with Face Match for Customer Authentication by Seamfix.
This is a trainable algorithm which detects and recognizes faces of individuals on which the model is trained.
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