Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Customer Experience Vision Free trial
By:
Latest Version:
2.2.0
CxVision offers an ML solution to improve customer experience through real-time people detection and tracking in dwell and service areas.
Product Overview
CxVision is a computer vision solution that allows you to generate near real-time customer experience metrics by detecting and tracking people in videos. It enables you to define two zones in each video, a waiting (dwell) and a service zone. This way, CxVision can measure how long a person takes in a queue (waiting zone) and how long it takes while serving (service zone). As a result, you'll get metrics that allow you to build business intelligence dashboards to answer questions in near real-time, such as: How many people are in the area? What are the average and maximum waiting times per area? How many people are being attended in the area?
Key Data
Version
Type
Model Package
Highlights
- CxVision uses YOLOX, an anchor-free version of YOLO.
- CxVision can blur people in videos for privacy purposes.
- CxVision is flexible for different deployment types: real-time invocations, batch processes, streaming-related videos, and edge devices.
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Contact us to request contract pricing for this product.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$0.50/hr
running on ml.g4dn.xlarge
Model Batch Transform$0.50/hr
running on ml.p2.xlarge
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$0.736/host/hr
running on ml.g4dn.xlarge
SageMaker Batch Transform$1.125/host/hr
running on ml.p2.xlarge
About Free trial
Try this product for 5 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Realtime Inference/hr | |
---|---|---|
ml.g4dn.4xlarge | $0.50 | |
ml.g4dn.8xlarge | $0.50 | |
ml.g4dn.xlarge Vendor Recommended | $0.50 | |
ml.g4dn.2xlarge | $0.50 |
Usage Information
Model input and output details
Input
Summary
The input data can be just a video file in MP4
format. However, you could send a multipart/form-data
request if you need to change the default configuration. Please see the CxVision Usage Instructions .
Limitations for input type
1. Real-time endpoint has a request timeout of 60 seconds.
2. Input data must be at most 6MB.
3. Videos must be preprocessed before making the inference. Please see the CxVision Usage instructions
Input MIME type
multipart/form-data, video/mp4Sample input data
Output
Summary
The result of each video will be a JSON output with the detection and tracking coordinates and the generated metrics in the form of logs. With this data, the detections carried out can be drawn on the original video.
Output MIME type
application/jsonSample output data
Sample notebook
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)
Support Information
Customer Experience Vision
Email: cxvision@newtoms.com
Telephone: +1-678-736-3022
AWS Infrastructure
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.
Learn MoreRefund Policy
Contact us.
EMAIL. cxvision@newtoms.com
TELEPHONE. +1-678-736-3022
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