Aggression Recognition Model

Integrate emotional insights into your application.

Aggression Recognition Model

From Visual Raw Data to Proactive Threat Detection

A computer vision model designed to detect ‘Emotional Aggressiveness’—a compound affective state synthesized from core hostile indicators such as Anger and Disgust. This API serves as a critical early-warning signal for predicting potential conflicts or hostility.

· Input: Stills or RTSP streams; supports up to 4K resolution; handles low-light and off-axis angles (up to 45°)..

· Output: Real-time JSON response including aggression labels (Binary Classification – Aggressive/ Non-Aggressive)), confidence scores, and facial bounding boxes.

Edge

Why Top-Tier Enterprises Choose MinsightAI.

· Optimized Balance: Unlike general models that often miss rare but critical aggressive spikes, our model delivers a balanced high precision (93%) and recall (96%), minimizing both false alarms and missed threats.

· Lightweight & High-Velocity: Engineered for real-time risk management with an inference time of just 3ms (GPU-based), ensuring zero-lag alerts in high-concurrency environments.

Benchmarks

Scenario	Distance/Setup	Accuracy
Close-Up (Interviews, Checkpoints…)	< 1.5m, Eye-level	91%
Wide-Angle (Public Safety, Schools…)	2-3m Height, Surveillance Angle	95%

Flexibility

Integrate Anywhere, Scale Everywhere.

· Cloud API: Rapid integration via RESTful API for web and mobile applications.

· Private Cloud: Deploy on your own infrastructure (AWS, Azure, GCP) for total data control.

· On-Premise / Edge: Optimized for NVIDIA Triton and local servers in air-gapped or low-bandwidth environments.

Ready to Decode Human Emotion?

Start building with our Aggression Recognition Model API today.