Computer Vision-Based Employee and Customer Safety Solution

Ensuring a secure enterprise environment in the time of COVID-19

Solution highlights

Object detection and face recognition
Accurate face mask identification
Body temperature detection
Real-time social distancing monitoring
Advanced people counter module
Instant alerting with violation details

Challenge: Detect, identify, measure

The client needed to create an enterprise-grade solution able to count the number of employees in every particular area as well as identify whether people wear masks correctly and observe social distancing rules.

To meet this business need, we used our computer vision and deep learning competence. The SCRUM methodology was chosen to easily adapt to constantly changing requirements and innovative project nature, while ensuring full process transparency.

“Project complexity required a highly competent, cross-functional team. We assembled frontend and backend engineers, DL experts, Python developers, and QA specialists with 50+ years of cumulative team experience.”

— Anatoliy, Project Manager

Delivering a robust employee safety system

Oxagile’s decade-long experience in developing computer vision solutions proved instrumental in building an innovative system able to control whether COVID-19 restrictions are met within the enterprise.

Precise face detection

Detection of multiple faces despite occlusions
Accurate employee identification (name and surname)
Face image processing speed: 15 ms
Unified data processing component that allows adapting to new case scenarios
Optimal “accuracy vs computing requirements” ratio for minimized TCO

Face mask recognition

Our engineers worked with the MAFA dataset (30,811 images and 35,806 masked faces) to immediately detect mask wearing violations, while dealing with the most complex real-life scenarios. The delivered solution detects:

Correct and incorrect mask wearing
Uncovered faces (no masks)
Occluded face instead of a mask
Masks that don’t cover the mouth or nose
Full face mask wearing

Body temperature determination

Thermal cameras implementation
Smooth processing of a 16-bit thermal images
Using non-standard dataset with grayscale thermal images
Simultaneous utilization of RGB and a thermal camera
Temperature determination accuracy: +/- 0.3 °C (~0.5 °F)

Object detection and tracking

Real-time detection of multiple objects
Advanced counter of people entering and exiting the building
Social distancing monitoring (minimum safe distance, room capacity)
Immediate rule violation alerts highlighting every particular violator in person
Video post-processing to increase detection and recognition accuracy

Expert help with your solution

Leverage our computer vision knowledge to build a custom solution from scratch or enhance an existing one with cutting-edge functionality like face identification, object tracking, behavior analysis, and more. Contact us describing your requirements, and we’ll help you find the balance between cost, performance, and business value.

Free consultation

Pushing scalability with edge devices

To scale the solution’s capacity on Nvidia Jetson edge devices, we leveraged the C++ programming language. This allowed us to easily handle the streams from multiple cameras and smoothly perform all detections and calculations.

Depending on modules used, every edge device was connected to up to seven cameras. And the number of edge devices used in one tenant (web application) was unlimited.

Capitalizing on deep learning expertise

Oxagile’s growing DL expertise across the production department helped us dive deeper into project requirements and implement them strongly at the business logic level.

We used the best practices around computer vision to ensure unmatched accuracy of video and image analysis — despite highly compressed surveillance videos, moving objects, various face angles, and shaky camera footage.

Our proprietary computer vision know-hows were instrumental in accelerating data analysis as well as ensuring the optimal balance between image processing accuracy and system performance.

Face mask recognition accuracy

Face image processing speed

Temperature determination accuracy

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Let’s talk computer vision solutions

Need some help implementing your new project? Contact us, and an expert will get back to you to discuss your image analysis needs and find the optimal ways to get your computer vision project underway.