PPE compliance has to be constantly monitored
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.
Automated PPE detector for work environment safety
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.
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
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 an 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 a client’s request, any other object may be added to the solution.
Body temperature monitoring
The detector automatically measures body temperature, if cameras have a thermal imager function. If a high temperature is detected, the notification is automatically sent to the responsible manager.
DevOps Competence Manager (VITech)