Emotion Recognition

Overview

Adapt AI’s Emotion Recognition leverages advanced computer vision and machine learning to detect and analyze facial emotions in real-time. From customer service to security and healthcare, our solution adapts to diverse environments, delivering actionable insights under challenging conditions like varying lighting, angles, or partial occlusions.

Key Features

High Precision Detection

Identifies emotions (e.g., happiness, anger, sadness) with accuracy across diverse facial expressions, lighting conditions, and angles.

Real-Time Analysis

Processes live video feeds via RTSP, recorded videos, or static images with fast inference for immediate feedback.

Versatile Deployment

Deploy on-premise (Docker, no GPU needed) or in the cloud, with outputs in JSON, webhooks, or CSV formats.

Seamless Integration

Offers an SDK for developers, supporting up to 5 MB video frames in the cloud (10 calls/sec) and efficient on-premise processing.

Output Details

Our Emotion Recognition system provides detailed results, including:

Emotion Type: Primary emotion detected (e.g., happiness, frustration).
Intensity Score: A 0-100 scale indicating emotion strength.
Confidence Level: Percentage reflecting the AI’s certainty in its analysis.
Timestamp: Precise timing of emotion detection in video feeds.

Use Cases

Customer Service: Gauge client satisfaction in real-time during calls or in-store interactions.
Security: Detect potential threats or distress in public spaces via CCTV integration.
Healthcare: Monitor patient emotional states for mental health assessments or therapy.
Market Research: Analyze consumer reactions to products or advertisements.