Project overview

An AI-driven edge solution for the entertainment industry that utilizes facial recognition and identification to ensure R-rated movie-goers have reached the appropriate age.

Industry
Media & Telcos
Delivery Model
SLA-driven task backlog delivery (TM-based)
Domain
Computer Vision
Effort and Duration
ongoing
Technologies
С++ • OpenCV • GTK

Reliably detecting a person's age

  • Leveraging live video camera footage
  • Custom neural network component to reliably detect faces, identify persons, and determine their age
  • Configurable notifications for the premises manager to initiate ID verification
  • Securely storing face images for future reference
  • Optimized for speed to operate within the minimum time window before starting a game
  • Using Nvidia Jetson devices with embedded Oxagile firmware
  • Flexible integration and deployment options, both cloud and on-premises (bars, clubs, dedicated gambling premises, etc.)
Back to the list

Related projects

WebRTC proctoring platform Effortlessly monitoring 5,000+ exams daily→
Blood cell identification Self-learning medical image analysis tool→
Video analysis platform Next-gen computer vision-based solution→
Dental implant identification Recognizing hundreds of implant models→
Live basketball action stats Potent combination of CV and analytics→
Real-time soccer highlights Content DNA framework compilation solution→

STAY WITH US

To get your project underway, simply contact us and an expert will get in touch with you as soon as possible.

This website uses cookies to help improve your user experience

I consent
Leave the page