PPE Detection
Prevent Workplace Injuries and Occupational Hazards with Vision AI powered real-time PPE Detection

Prevent Workplace Injuries and Occupational Hazards with Vision AI powered real-time PPE Detection
Trained and Tested to give the best results. Our AI systems detect PPE with an accuracy of 99%, minimizing false-positives and false-negatives
Ultra-fast Processing for real-time inference results and feedback (~30 frames per second processing) with custom telemetry, inference results
Our custom dashboards and real-time notification systems can be tailored to your needs, be it simple dashboards or complex ERP systems
Our pre-trained/custom models can be deployed instantly and are camera independent. They can be pre-installed with existing cameras
Employee Role-based notifications and alerts through different omni channels like emails, messages, custom alert systems, etc
Our Pre-processing enhances Image quality before further analysis While maintaining data privacy by blurring out faces and sensitive information
In your Azure marketplace portal subscription, deploy the hub service or CV solution you’re looking for and fill in the required details; IoT hub name, Resource Group, and Azure subscription details.
Create and deploy the Azure Resource Manager (ARM) template (the interface for managing and organizing cloud resources), deployment manifest, zone configuration and install cameras.
After the deployment manifest is complete, execute the deployment on the host computer. View the status of deployment in your Azure IoT hub instance in the portal.
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VisionAI Platform
Activity recognition systems are trained on a vast data set for each scenario. Based on movement in a particular area or a specific manner, these ML-powered solutions are capable of notifying security staff of possible abnormalities, risks, suspicions, and violations.
Our Azure web app lets you easily connect your surveillance camera and access activity detection scenarios as needed. We will deploy our code to your infrastructure with the help of the Azure Resource Manager template.
With Visionify, it is easy to set up the defined area and predetermine what and how users receive alerts. As a result, you will get a detailed insight into various KPIs on your mobile app.
Our ready-to-deploy models can be installed on your system with the help of ARM templates. After this, you can add and customize camera settings per the scenarios. Since our solution works with most consumer and commercial-grade cameras, you’ll likely not have difficulty using our services.
At Visionify, we offer multiple solutions which find their application in several industries. Early fire detection, Leakage detection, Exclusion zone detection, Mobile phone detection, PPE detection, Slip and Fall detection, Smoking and vaping detection are some of the popular solutions organizations across industries implement.
Our object detection solution has three main components i.e., dual properties (object classification and localization), speed for real-time detection, and multiple spatial scales and aspect ratios.
Our engineers work on various algorithms such as CNN, Yolo v5, Faster R-CNN, Mask-RCNN, Deepsort, etc.
We used multiple tools and frameworks, including Pytorch, Yolov5, Tensorflow, and many more, as per the project requirement.
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