Uses facial recognition to automate attendance tracking with high accuracy and speed.

Monitors driver’s eye and head movements to detect drowsiness and ensure road safety.

Employs YOLOv7 model for real-time, precise detection of objects in diverse environments.

Identifies firearms and weapons in real-time using advanced image analysis for security.

Analyzes facial expressions to identify emotions like happiness or sadness in real-time.

Uses LLM and vision to accurately read and process vehicle license plates swiftly.

Detects and classifies traffic signs in real-time to aid autonomous driving systems.

Identifies unauthorized human presence in restricted areas using AI-powered surveillance.

Ensures compliance by detecting personal protective equipment usage in work environments.

Estimates age and gender from facial features using AI for demographic analysis.

Detects vehicular accidents in real-time and alerts authorities for quick response.

Monitors vehicle speeds using AI vision to enforce traffic rules and safety.

Optimizes parking space usage with real-time monitoring and automated allocation systems.

Identifies mask-wearing compliance in public spaces using real-time facial analysis.

Interprets hand gestures for intuitive human-computer interaction and control applications.

Analyzes traffic flow and vehicle patterns to optimize urban mobility and planning.

Tracks and counts exercise repetitions in real-time to enhance fitness training accuracy.

Detects falls in real-time and sends alerts for immediate assistance to individuals.

Recognizes and classifies animals using AI vision for wildlife monitoring and safety.

Monitors driver behavior to detect distractions like phone use for safer driving.