• Train

          Develop

          Deploy

          Operate

          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?

          Overview
          Whitepaper
          Expert Services
  • Services
        • Resources

          Research

          Company

          Why Viso Suite?

          The Viso Blog

          About Viso

          Evaluation Guide

          Explore Use Cases

          Customers

          Viso Suite Whitepaper

          Industry Reports

          Support Center

          ROI Impact Study

          Technology Guides

          Careers

          Security & Trust

          Contact

          Why Viso Suite

          Viso Suite is the leading end-to-end computer vision infrastructure to build, deploy, and scale AI vision dramatically faster and better.

  • 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.
Industries
Last updated
September 20, 2021
Usage
Requires Viso Suite
Support

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
PwC Logo

Other Solutions

Analog Instruments Reading
Computer Vision application to read analog dials such as gauges, digital displays, and warning light colors using cameras.
Computer vision for mechanical controls recognition
Product Detection
Product detection uses deep learning to detect different product types automatically.
Pothole Detection
Automated detection of potholes with AI vision
YOLOv8 applied in smart cities for pothole detection.
Play Video