Portfolio

Face Mask Detection System: A Versatile Safety Solution for All Industries

Portfolio

Face Mask Detection System: A Versatile Safety Solution for All Industries

Overview

We created a Face Mask detection system combining the best of Facial recognition and computer vision.

The system tracks people, analyzes faces and generates alerts if necessary. A state of the art Facial recognition system with real time performance, we implemented it in C++ to guarantee stable and seamless deployability. It can work on multiple cameras simultaneously making it equally ideal for small businesses, public sectors (healthcare, transport, schools etc.) and large enterprises with use cases like smart cities.

Problems

We were approached to create a system that would detect if people were wearing face masks properly. The system had to work through a CCTV camera system and work in real-time. So, three main modules:

  • Track people with / without face masks
  • System should be real-time and work for multiple cameras simultaneously
  • Generate alerts for people not wearing a mask against their unique ids

How does it work?

Camera Connection

Our system connects to a network of cameras via a computer and processes all the video streams.

Alert

The system marks and generates alerts against people not wearing masks.

Face & ID’s

Dedicated APIs for lenders to provide real-time lending decisioning recommendations to clients.

Compliance

The system maintains compliance by sending immediate alerts in high-risk settings.

Solution

We proposed to make a C++ framework based on TensorFlow. A C-API to handle multiple streams so the system remains state-of-the-art, and easy to scale up/down. We focused on

Gathering face detection and mask datasets.

Train a face detector and a mask classifier.

Make an alert system API to send information of people without masks.

Challenges

Like with any project, there are always challenges. With this system we had to think of solutions against challenges like

  • No high quality mask datasets available for accurate prediction in the wild.
  • Running the system in real time on 4k Videos.
  • Deployment as a C++ Application and Library to be deployed on any system
  • Small face detection in CCTV footage

Applications

Offices

Libraries

Schools

Restaurants

Hazardous Areas

Industry

Hospitals

Client Testimonial

RevolveAI was amazing to work with and we very highly recommend people looking for a top-talent in machine learning to work with RevolveAI! They built a great rapport with us from day one and we felt so comfortable with the whole team. Their experience and skillset, along with a laid back attitude and passion for AI technology, were immensely valuable throughout the process. They were very knowledgeable and gave us some great ideas and contributed so much to our project.

In a nutshell I would say: Hire RevolveAI, you won’t be disappointed.