Sold by: NEWTOMS LLCÂ
Deployed on AWS
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CxVision offers an ML solution to improve customer experience through real-time people detection and tracking in dwell and service areas.
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?
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.
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor.
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/host/hour |
|---|---|---|
ml.p2.xlarge Inference (Batch) Recommended | Model inference on the ml.p2.xlarge instance type, batch mode | $0.50 |
ml.g4dn.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g4dn.xlarge instance type, real-time mode | $0.50 |
ml.p2.8xlarge Inference (Batch) | Model inference on the ml.p2.8xlarge instance type, batch mode | $0.50 |
ml.g4dn.4xlarge Inference (Real-Time) | Model inference on the ml.g4dn.4xlarge instance type, real-time mode | $0.50 |
ml.g4dn.16xlarge Inference (Real-Time) | Model inference on the ml.g4dn.16xlarge instance type, real-time mode | $0.50 |
ml.g4dn.8xlarge Inference (Real-Time) | Model inference on the ml.g4dn.8xlarge instance type, real-time mode | $0.50 |
ml.g4dn.12xlarge Inference (Real-Time) | Model inference on the ml.g4dn.12xlarge instance type, real-time mode | $0.50 |
ml.g4dn.2xlarge Inference (Real-Time) | Model inference on the ml.g4dn.2xlarge instance type, real-time mode | $0.50 |
Vendor refund policy
Contact us.
EMAIL. cxvision@newtoms.com TELEPHONE. +1-678-736-3022
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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
- Detection and tracking improvement
Additional details
Inputs
- 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
- video/mp4, multipart/form-data
https://github.com/NEWTOMS2/NEWTOMS-cxvision/blob/main/sample/input/preprocess-example-video.mp4
https://github.com/NEWTOMS2/NEWTOMS-cxvision/blob/main/sample/input/preprocess-example-video.mp4
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
blurring | It indicates if blurring must be applied. | Type: Categorical
Allowed values: True,False | Yes |
detection_threshold | It indicates the threshold to consider a detection as a valid one. CxVision will take all the detections with a confidence equal to or higher than the detection_threshold. It must be a float value between 5 and 100. | Type: Integer
Minimum: 5
Maximum: 100 | Yes |
timezone | It defines the timezone for processing the videos. | Type: FreeText | Yes |
refresh_threshold | It indicates the threshold for cleaning the endpoint variables. This value is expressed in hours. By default, its value is 1 (hour). | Default value: 1
Type: Integer
Minimum: 1 | No |
dwell_zone | It specifies the coordinates of the dwell zone. | Type: FreeText | Yes |
service_zone | Specifies the coordinates of the service zone | Type: FreeText
Limitations: It specifies the coordinates of the service zone. | Yes |
video_name | It defines the name of the video to be processed. | Type: FreeText | Yes |
Resources
Vendor resources
Support
Vendor support
Email: cxvision@newtoms.com Telephone: +1-678-736-3022
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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