EmoCam - Camera for Emotion Au
Pujana
3.8 ★
208 ratings
50,000+
downloads
Free
+ in-app
With this AI camera app, you can analyze facial expressions to detect emotions and visualize them with augmented reality aura. Includes real-time emotion detection, customizable visualizations, and noise reduction features.
AppRecs review analysis
AppRecs rating 3.9. Trustworthiness 82 out of 100. Review manipulation risk 23 out of 100. Based on a review sample analyzed.
★★★☆☆
3.9
AppRecs Rating
Ratings breakdown
5 star
58%
4 star
8%
3 star
10%
2 star
6%
1 star
19%
What to know
✓
Low review manipulation risk
23% review manipulation risk
✓
Credible reviews
82% trustworthiness score from analyzed reviews
✓
Good user ratings
65% positive sampled reviews
About EmoCam - Camera for Emotion Au
Experience a smart AI camera that reads your emotion!
See how to use: https://p-library.com/a/emocam/
** This app in under testing and problem fixing **
This tool can analyze your emotions based on facial expressions and visualize them as augmented reality aura. The state-of-the-art convolutional neural networks (deep learning models) are employed for face detection and facial expression classification. Moreover, a fuzzy-logic-inspired algorithm for generating color gradients, as well as a vector-quantization-based stabilizer for noise reduction, are invented to make smooth real-time colorization. Basically, this app was built on top a combination of powerful AI algorithms.
Emotion
Blue: Clam-Sadness
Green: Happy, Joyful
Magenta: Disgust
Orange: Confused, Surprised
Red: Angry, Upset
White: Neutral
Yellow: Anxiety, Stressed, Fear
The 3 Sections
Outer Color (1): Primary emotion, the most dominance emotion.
Color on top (2): Secondary emotion
Color on two sides (3): Tertiary
See how to use: https://p-library.com/a/emocam/
** This app in under testing and problem fixing **
This tool can analyze your emotions based on facial expressions and visualize them as augmented reality aura. The state-of-the-art convolutional neural networks (deep learning models) are employed for face detection and facial expression classification. Moreover, a fuzzy-logic-inspired algorithm for generating color gradients, as well as a vector-quantization-based stabilizer for noise reduction, are invented to make smooth real-time colorization. Basically, this app was built on top a combination of powerful AI algorithms.
Emotion
Blue: Clam-Sadness
Green: Happy, Joyful
Magenta: Disgust
Orange: Confused, Surprised
Red: Angry, Upset
White: Neutral
Yellow: Anxiety, Stressed, Fear
The 3 Sections
Outer Color (1): Primary emotion, the most dominance emotion.
Color on top (2): Secondary emotion
Color on two sides (3): Tertiary
EmoCam - Camera for Emotion Au Screenshots
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Reviews for EmoCam - Camera for Emotion Au
العراف
5/11/2025
good
Marsha Whaiapu
2/29/2024
👍