Sold by: VITech LabÂ
Deployed on AWS
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Real-time computer vision model to detect PPE non-compliance in manufacturing, construction, and other industrial environments
Overview
Helmet & Vest Detector for Worker Safety - is a real-time image recognition and classification model for PPE non-compliance detection in the industrial setting. The ML model can be used in manufacturing, construction, steel, oil & gas, and other industrial environments. It detects the absence of helmet and vest on workers using object detection and real-time video analytics.
We also have a ready to use software, PPE Monitoring Platform: https://aws.amazon.com/marketplace/pp/B08BT5CV2FÂ
We provide free support during the trial period! After you've succeeded with the subscription, reach out at support@vitechlab.comÂ
Highlights
- Helmet & Vest Detector: Trained on a synthetic dataset of 100,000 images and fine-tuned on the VITech Lab privately collected a dataset of real images from IP/CCTV cameras. The training dataset was considerably enlarged with augmented data. A synthetic dataset was collected with domain randomization to fit real images. The model was trained on images of 512x512 resolution and accepts images of any size that are resized internally.
- Uses a custom designed in VITech object detection architecture to detect people and equipment they wear (helmet and vest). The inference time is independent of the number of people detected in a single image. Inference latency is dependent on the hardware: ml.c4.xlarge - 1.25 s ml.c5.xlarge - 980 ms ml.p2.xlarge - 52 ms ml.p3.xlarge - 31 ms ml.g4dn.xlarge - 29 ms
- Need a custom-made solution for video/image analysis? Or maybe need a custom PPE compliance detector? Reach us at support@vitechlab.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 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.p3.2xlarge Inference (Batch) Recommended | Model inference on the ml.p3.2xlarge instance type, batch mode | $20.00 |
ml.g4dn.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g4dn.xlarge instance type, real-time mode | $5.00 |
ml.p2.xlarge Inference (Batch) | Model inference on the ml.p2.xlarge instance type, batch mode | $20.00 |
ml.p2.16xlarge Inference (Batch) | Model inference on the ml.p2.16xlarge instance type, batch mode | $20.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $20.00 |
ml.c4.4xlarge Inference (Batch) | Model inference on the ml.c4.4xlarge instance type, batch mode | $20.00 |
ml.c5.9xlarge Inference (Batch) | Model inference on the ml.c5.9xlarge instance type, batch mode | $20.00 |
ml.c5.4xlarge Inference (Batch) | Model inference on the ml.c5.4xlarge instance type, batch mode | $20.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $20.00 |
ml.p3.8xlarge Inference (Batch) | Model inference on the ml.p3.8xlarge instance type, batch mode | $20.00 |
Vendor refund policy
We do not offer refunds at this time.
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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
Updated architecture of the detector: closely standing people are now not merged, possible overlap up to 25% Improved detection in low-ish light conditions Person detection Average Precision at 0.5 IOU: 0.71 PPE classification Macro F1 score: 0.89
Additional details
Inputs
- Summary
Supported content types: image/jpeg. This model accepts images in the mime-type specified above.
- Limitations for input type
- Supported content types: image/jpeg. This model accepts images in the mime-type specified above.
- Input MIME type
- image/jpeg
https://github.com/VITechLab/aws-sagemaker-examples/tree/master/Helmet-Vest-Detector-for-Worker-Safety/data/input/real-time
https://github.com/VITechLab/aws-sagemaker-examples/tree/master/Helmet-Vest-Detector-for-Worker-Safety/data/input/batch
Resources
Support
Vendor support
If you have any issues or feature requests, please write to us, and we will be happy to help you as soon as possible. We can also create custom software and models optimised for your specific use case. Reach us at: support@vitechlab.comÂ
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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