AI Emotion Detection in Real Time | Face Mesh Monitoring System
Welcome to IndusCore Tech !
Tutorial - AI Emotion Detection : https://youtu.be/OQJCP8Zr02Q
In this video, I present a real-time AI vision demonstration combining facial emotion detection and facial mesh analysis using pre-trained deep learning models. The goal is to showcase how modern computer vision systems can analyze human expressions and facial movements live from a standard camera.
The system integrates two main components:
- An emotion recognition model to estimate facial expressions and emotional states
- A facial landmark and mesh system powered by MediaPipe to visualize facial structure and movement
Process steps shown in the demo:
- The webcam captures live video input and sends frames to the AI pipeline.
- The emotion detection model analyzes facial expressions and computes probabilistic emotion scores in real time.
- MediaPipe generates a facial mesh representation, showing how the system tracks facial geometry and movements.
- The dominant emotion is displayed on the human view, while a technical monitoring view visualizes facial landmarks and emotion signals.
- This demonstration illustrates how AI-based vision systems can be used for human–machine interaction, operator monitoring, automotive safety, and industrial research, without requiring custom model training.
- This project aims to highlight the capabilities of pre-trained AI models for rapid prototyping and real-time analysis in applied industrial contexts.
If you found this content useful, feel free to like, comment, and subscribe for more AI, computer vision, and industrial technology demonstrations.
Let me know what topics you would like to see next.
#ai #detection #emotions
Welcome to IndusCore Tech !
Tutorial – AI Emotion Detection : https://youtu.be/OQJCP8Zr02Q
In this video, I present a real-time AI vision demonstration combining facial emotion detection and facial mesh analysis using pre-trained deep learning models. The goal is to showcase how modern computer vision systems can analyze human expressions and facial movements live from a standard camera.
The system integrates two main components:
– An emotion recognition model to estimate facial expressions and emotional states
– A facial landmark and mesh system powered by MediaPipe to visualize facial structure and movement
Process steps shown in the demo:
– The webcam captures live video input and sends frames to the AI pipeline.
– The emotion detection model analyzes facial expressions and computes probabilistic emotion scores in real time.
– MediaPipe generates a facial mesh representation, showing how the system tracks facial geometry and movements.
– The dominant emotion is displayed on the human view, while a technical monitoring view visualizes facial landmarks and emotion signals.
– This demonstration illustrates how AI-based vision systems can be used for human–machine interaction, operator monitoring, automotive safety, and industrial research, without requiring custom model training.
– This project aims to highlight the capabilities of pre-trained AI models for rapid prototyping and real-time analysis in applied industrial contexts.
If you found this content useful, feel free to like, comment, and subscribe for more AI, computer vision, and industrial technology demonstrations.
Let me know what topics you would like to see next.
#ai #detection #emotions
