Silent communication

Can AI understand human emotions? AI emotion recognition mainly utilizes computer vision and machine learning algorithms to analyze facial expressions and postures. When processing images or videos, AI models extract important features of facial expressions, such as eye and mouth shapes, wrinkles, etc., and analyze and compare these features to determine visitors' current emotional state.

The unit is designed for unsupervised public use: controls are recessed or shielded, moving parts are enclosed, and the interface is operable by a child of about six with no instruction. Where a screen is used, the language can be switched without changing the hardware, and the content can be replaced on site.

AI emotion recognition utilizes computer vision and machine learning algorithms to analyze facial expressions and postures, in order to recognize and classify different emotional states. This technology uses deep learning models to train a large dataset of emotion markers, enabling the algorithm to automatically learn and recognize the association between facial features and emotions. When processing images or videos, AI models extract important features of facial expressions, such as eye and mouth shapes, wrinkles, etc., and analyze and compare these features to determine visitors' current emotional state. Combining AI emotion recognition with LED dot matrix technology. By using AI emotion recognition technology to analyze the emotional state of visitors, the results are transmitted to the system that controls the LED dot matrix wall. Then, the LED dot matrix adjusts its brightness, color, and pattern based on the classification of emotions to reflect visitors' emotional state in real time and provide an immersive viewing experience for visitors.