Q. What are the user scenarios?

Almost all scenes that require image understanding, including: surveillance, smart doorbells, indoor monitoring, face searching, face authentication, video cloud storage, etc

Q. How does the solution work?

The solution automatically provisions cloud resources and deploys 3 built-in models to SageMaker endpoints. Users can make the use of the AI features by sending requests to APIs.
In addition, users can also build customized models based on their own dataset, and package it with ECS container image, finally integrate it in the solution.

Q. What is user experience of using this solution?

You can deploy the solution directly from the solution page or from the GitHub repository. It takes around 20 mins to deploy the AI SaaS solution into your Amazon Web Services account. In term of using the SaaS, you can send image data in the HTTP POST input request and receive the response with information such as bounding boxes and confidence of the face/body in the image, etc.

Q. How much does the solution cost?

The cost is related to the usage of cloud resources and it can be divided into two parts: compute and storage. The cost is positively related to the number of machines you configured using the deployment for AI inference and the frequency of requests.

Q. How much development effort needed to use it?

The solution provides an out-of-box experience, thus, no extra effort needed. If the out-of-box features do not meet your requirement, you can provide your own customized models, package them in ECR images and use them in the solution, by referencing the source code in GitHub.

Q. Can I deploy the solution in any Amazon Web Services Region?

No. Currently, only four Regions (cn-north-1, cn-northwest-1, us-east-1, us-west-2) are supported for the deployment.

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