Photo tagging and grouping with facial recognition
Instant Access to Camp Memories, Zero Manual Hassle
For campers, memories are made in moments. But capturing and sharing those moments was a slow, tedious process. Staff had to manually review and tag each camper’s photo—an overwhelming task that limited the number of photos processed daily. Errors were common, and campers often had to wait until the camp ended to see their pictures.
Challenges
Time-Consuming, Error-Prone Manual Tagging
High Manual Effort – Staff had to sort through hundreds of photos, identifying and tagging campers individually.
Slow Processing – Limited daily output meant campers waited days to see their photos.
Inconsistent Accuracy – Human errors led to misidentified or missed photos.
The Solution
AI-Powered Photo Tagging with Facial Recognition
Knackforge introduced an intelligent, automated system to speed up the process and improve accuracy:
Captured Headshot Samples – Collected reference photos to build a reliable facial recognition model.
Automated Photo Tagging – Used facial recognition to instantly identify and group photos, reducing manual work.
Smart Monitoring & Refinements – Improved accuracy by adding extra headshot samples, fine-tuning classifications, and rechecking results.
Achieved 96% Confidence Score – Ensured precise tagging, making photos available faster and more accurately.
The Impact
Faster Photo Delivery, Higher Engagement
- From Days to Instant – Photos were tagged and shared immediately, eliminating long wait times.
- Reduced Manual Effort – What previously took 4–10 staff per camp was now handled automatically.
- Higher User Engagement – Faster, accurate photo sharing kept campers and families engaged throughout the camp.
Technologies Used:
- AWS Rekognition
- React
- Node.js