Sold by: ProvectusÂ
Deployed on AWS
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Image classification model that detects violations of social distancing in public areas
Overview
Provectus Social Distancing Detector fits well into video analytic workloads for businesses that are to minimize disease transmission risks, gather data for decision-making processes, and ensure adequate personal space for their employees and clients.
The solution performs isomorphic analysis by estimating distances between people based on their approximate height. That requires an adequate camera angle, usually placed well-above the queue or crowd so that an image frame does not look misleading.
Highlights
- Ensure your public space is safe and compliant with safety and health requirements. It might be combined with a face mask detection solution from Provectus to enhance your standards and give better insights about your environment. The solution is typically integrated as a part of video processing pipelines via AWS: https://aws.amazon.com/blogs/machine-learning/video-analytics-in-the-cloud-and-at-the-edge-with-aws-deeplens-and-kinesis-video-streams/
- Check it yourself with our Jupyter Notebook, that you can run hassle-free in AWS SageMaker or on your local machine: https://github.com/provectus/ai-worker-safety-notebooks/blob/master/social-distancing-usage-demo.ipynb
- Need a custom-made solution for video/image analysis? Reach us at hello@provectus.com
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Free trial
Try this product free for 28 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.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $0.01 |
ml.t2.large Inference (Real-Time) Recommended | Model inference on the ml.t2.large instance type, real-time mode | $0.01 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $0.01 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $0.01 |
ml.m5.12xlarge Inference (Batch) | Model inference on the ml.m5.12xlarge instance type, batch mode | $0.01 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $0.01 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $0.01 |
ml.m5.xlarge Inference (Batch) | Model inference on the ml.m5.xlarge instance type, batch mode | $0.01 |
ml.m4.xlarge Inference (Batch) | Model inference on the ml.m4.xlarge instance type, batch mode | $0.01 |
ml.c5.4xlarge Inference (Batch) | Model inference on the ml.c5.4xlarge instance type, batch mode | $0.01 |
Vendor refund policy
Please notify Provectus if the solution does not produce an inference or is considered to produce unsatisfactory inferences after the trial period — and we'll open a refund case for you.
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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
Detecting social distance with a predefined parameter of 6ft https://bit.ly/social-distance-jsonÂ
Additional details
Inputs
- Summary
Usage Instructions: Supported content types are ["image/jpeg"]
Supported response types are "application/json"
After creating an endpoint, you can use any AWS Sagemaker APIs to use the model.
The easiest way is with our supplied Jupyter Notebook: Â https://github.com/provectus/ai-worker-safety-notebooks/blob/master/social-distancing-demo.ipynbÂ
But you can also use the AWS CLI: aws sagemaker-runtime invoke-endpoint --endpoint-name "your_endpoint" --body fileb://test_image.jpeg --content-type "image/jpeg" output.json
See Input Summary
See Input Summary
Resources
Support
Vendor support
We'd love to tailor the model for your needs and to improve prediction accuracy for your environment and use case. Reach out to us at hello@provectus.com or visit our website.
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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