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Face Recognition at Events
Scope: Automating face recognition for event photography using AI
Industry: Media / Entertainment
Customer: Access Management Company for Events & Schools (NDA)
Timeline: 6 month for POC project
TEAM
  • 3 Computer Vision and ML Engineers
  • 1 DevOps Engineer
  • 1 QA Engineer
  • 1 Business Analyst
  • 1 Project Manager
KEY TECHNOLOGIES
  • Android
  • AWS
  • Azure
  • Kairos API
  • OpenCV
Problem
Manual face/attendee identification was often a bottleneck at high-throughput events
GOAL
Develop an AI-powered solution to automate detection labeling, and storage of attendee information
SOLUTION
  • Photo capture via cameras or gallery upload
  • Automated labeling
  • Ability to edit attendee details
Impact
Efficiency gain of 60-80%
Faster and more efficient identification
45-55% boost in face recognition accuracy
Optimized for high-volume, real-time photo processing
50-70% time savings on manual identification
Reduced operational expenses through automation