kaushikjadhav01/Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-System
Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion, age and gender of people in any given image, video or real time webcam
This system helps analyze human behavior by detecting emotions, age, and gender from visual inputs. You feed it images, video files, or a live webcam feed, and it provides classifications for each person's emotion, age range, and gender. This is useful for researchers in social sciences, marketing analysts, or security professionals who need to understand demographics and emotional responses from visual data.
133 stars. No commits in the last 6 months.
Use this if you need to automatically identify the age, gender, and emotional state of individuals appearing in photos, recorded videos, or real-time camera streams for analysis or monitoring.
Not ideal if you require highly precise individual identification or detailed facial feature analysis beyond basic demographic and emotion classification.
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133
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Jupyter Notebook
License
MIT
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Last pushed
Jan 17, 2024
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