VITech Lab Healthcare introduces Automated PPE compliance control on Amazon Web Services


Life science organizations are looking for ways to monitor Personal Protective Equipment (PPE) compliance more efficiently and detect missing PPE. Occupational Safety and Health Act (OSHA) Personal Protective Equipment (PPE) standards (in general industry, 29 CFR 1910 Subpart I) require the use of gloves, eye and face protection, and respiratory protection.  Continuous monitoring for PPE compliance performed manually strains safety engineers in life science manufacturing and QC lab environments. However, scaling an automated solution requires automation of detection and notification and creating, deploying, and managing this automation requires weeks to months of IT staff time as well as AI and Machine Learning expertise. Finally, PPE ensembles may vary for different workers and additional PPE may include medical/surgical gowns, fluid-resistant coveralls, aprons, or other disposable or reusable protective clothing.  


PPE compliance has to be constantly monitored



Automated PPE detector for work environment safety

Real-time CCTV based automated detection and reporting on PPE compliance


Automated PPE detection for work environment safety allows organizations to leverage AI powered vision to identify PPE use in the work environment using real-time CCTV stream. Powered by computer vision and image analysis on AWS, the solution processes live video footage from cameras to detect and classify custom cases of PPE non-compliance in real-time.Capable of detecting different types of protective attire, this solution automatically sends safety violation reports to the designated safety team. The solution is also capable of body temperature monitoring, even in crowded areas, if there are cameras with thermal imager function. If the solution identifies people with temperature higher than established normal, it automatically alerts to responsible personnel. 

The solution serves as an assistant for the employee safety team, saving  effort spent on monitoring PPE compliance and identifying violations.  It can also measure body temperature through cameras. Using CCTV stream, the solution automatically identifies the absence of 4 object types on a person: medical coat, safety glasses, gloves, and mask. On client’s request other custom objects can be added to the solution.When the absence of the target object is noticed, the solution notifies the safety team responsible for PPE compliance. This product can provide significant results in reduction of PPE non-compliance rule by up to 90%. This provides an increased safety for employees and visitors.


Automated PPE detection can be used by:

Healthcare organizations


Medical devices manufacturing enterprises


Schools and universities


Research centers

Pharmaceutical enterprises


Key Benefits


Less Injury & Better compliance

Worksites are monitored in real-time for instant violation reporting, which means better safety. Injuries,laboratory substances contamination and infection transmission are reduced to minimum.

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Better Accountability

As safety is monitored in real-time, any case of injury can be researched to identify what caused it.

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Less Manual Work and better detection 

High detection accuracy and automated alerts allow safety managers to cut down on manual inspections and focus more on safety drills. 

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Improved Safety Regulations

With all video footage collected, safety engineers can analyze it for most common violations to develop more efficient safety drills.

Automating PPE compliance for your business in numbers

ONE instead of many

Centralized, connected camera-based automated monitoring lets you reduce the burden of manual safety monitoring

24/7 real-time monitoring

Real-time, around the clock analytics. Compatible with existing high-resolution cameras

up to 80%

Highly automated safety monitoring processes

Key Features

  • Real-Time Video Processing and Analytics

The PPE Detector makes it easy to instantly detect and report on cases of PPE violations as it captures and processes CCTV  streams for real-time analysis. The solution detects various PPE objects and, if a the absence of any of them is found,it sends an alert to a safety engineer.


  • Compatible with any high-resolution camera

Powered by computer vision and image analysis, the solution processes live video footage from cameras mounted on premises to detect and classify cases of PPE non-compliance in real-time. Camera Specifications. Any modern IP camera with minimal parameters: Resolution - from 2 MP, Video resolution - from 1920 × 1080 pixels, Video Format - H.264, Max FOV: 80 degrees, Color.


  • 4 Object Classes Detection on person: lab coats, safety glasses, gloves, mask

On the one hand, these classes ensure employee safety in hazardous environments. On the other hand, they protect laboratory substances from micro-contaminants and particles that can be brought from the outer environments. On client’s request any other object may be added to the solution.


  • Body temperature monitoring

The detector automatically measure body temperature, if cameras have thermal imager function. If a high temperature is detected, the notification is automatically sent to responsible manager.

Deployment: how it works on AWS


1. Users manage cameras by UI. UI calls backend for management of webcams/users and view collected alerts.

2. Backend calls workers for generation of new video streams.

3. Workers get video streams from cameras.

4. Workers send images from video streams to Amazon SageMaker model endpoint for detection of PPE violations.

5. Worker send every image with violation to Backend for storing (6,7).

8. UI gets URL for every video stream with violations and calls workers to view.

9. Amazon SES used for user password management and sending reports.

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