Skip to main content

Camera (Age and Gender)

Anomaly Detector/Predictor

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

Start typing and press Enter to search