Camera (Age and Gender)

Project Overview:
Machine Learning application that uses streaming data captured from IOT-enabled cameras to classify and predict images.
What We Delivered:
Age and Gender Classification: Identifies and categorizes individuals based on estimated age and gender.
Face Recognition: Accurately detects and matches faces for identification or verification purposes.
Face Emotion Recognition: Analyzes facial expressions to determine emotional states (e.g., happy, sad, angry).
Heatmap of People Tracking: Visual representation of movement patterns and crowd density in monitored areas.
Dashboard for Statistical Reports: Interactive dashboard displaying aggregated data, trends, and performance insights in real time.
Industry : Technology/Cross-Industry
Project Type : Machine Learning / Computer Vision Application
Services : Data Visualization, Machine Learning, Deep Learning, Face Recognition


