• Train




          Data Collection

          Building Blocks​

          Device Enrollment

          Monitoring Dashboards

          Video Annotation​

          Application Editor​

          Device Management

          Remote Maintenance

          Model Training

          Application Library

          Deployment Manager

          Unified Security Center

          AI Model Library

          Configuration Manager

          IoT Edge Gateway

          Privacy-preserving AI

          Ready to get started?

          Expert Services
  • Services
        • Resources



          Why Viso Suite?

          The Viso Blog

          About Viso

          Evaluation Guide

          Explore Use Cases


          Viso Suite Whitepaper

          Industry Reports

          Support Center

          ROI Impact Study

          Technology Guides


          Security & Trust


          Why Viso Suite

          Viso Suite is the most advanced no-code computer vision platform to build, deploy and scale your applications. It is trusted by leading Fortune Global companies.

  • Pricing

Mask Detection

Automatically detect unmasked people in public spaces or indoors.

What is Mask Detection?

Masked Face Detection is a key strategy of using protective equipment to combat the spread of the coronavirus. Computer Vision systems can help to greatly facilitate the monitoring of compliance and adherence to wearing masks.

Deep learning algorithms are able to accurately detect masked and unmasked faces in real-time video streams of surveillance cameras.

Key Features of Masked Face Detection

A masked face detection model based on Computer Vision is non-invasive, scalable, and comparably easy to implement since the video feed of any camera can be used.

  • Detection of masked and unmasked faces with individuals or larger crowds in public places.
  • Detect persistent or reoccurring violations of safety protocols in plants, hospitals, or other institutions.
  • Track changes over time with metrics to compute a risk score.
  • Send alerts and reports to trigger human intervention.

Value of Automated Mask Detection

Deep Learning based equipment detection and inspection is used to increase efficiency and safety, leading to cost savings. Vision-based control is highly scalable across many locations.

  1. Automated mask adherence monitoring is more consistent and accurate than human inspection.
  2. Detecting unmasked people increases safety by lowering the risk of transmission of COVID-19 and other infectious diseases.
  3. Masks or face coverings in the workplace can prevent outbreaks at a facility that would impact productivity or even lead to shutdowns.
  4. Save costs of manual inspections and avoid fines or penalties.
Last updated
September 20, 2021
Requires Viso Suite

How to get started

This solution is built on Viso Suite, the all-in-one computer vision platform to deploy, run and scale the solution with powerful tools and infrastructure.

To get started, request a personal demo, we will put together a plan that includes all the services you need to get started.

You are in good company

Other Solutions

Pothole Detection
Pothole Detection
Automated detection of potholes with AI vision
Get started
Automatic Number Plate Recognition (ANPR)
Automatic Number Plate Recognition
Automated Number Plate Recognition to identify vehicles in real-time.
Get started
Ergonomic Risk Analysis
Ergonomic Risk Analysis
AI-based ergonomic risk analysis using cameras to detect the human posture of employees.
Get started
Play Video
Would you like a demo?

See how your team can build your real-world AI vision systems faster with our end-to-end solution.

Schedule a live demo

Not interested?

We’re always looking to improve, so please let us know why you are not interested in using Computer Vision with Viso Suite.