Facial_Emotion_Recogniser
3D Passive Face Liveness Detection (Face Anti-Spoofing)
Identify and align faces in a given image
Apply face swapping to images or videos
Swap faces in videos
Identify real or fake faces in images
Swap faces in a video
Gaze detection using Moondream
This is a face swapper that swaps face within video.
Detect if an image shows a live person
Swap faces in videos
Replace faces in images or videos
Recognize faces and check face liveness
Facial Emotion Recogniser is an advanced AI-powered tool designed to identify and analyse human emotions through facial expressions. Using cutting-edge technology, it can detect and classify emotions such as happiness, sadness, anger, surprise, and more. This tool is ideal for applications in psychology, marketing, security, and customer service, providing real-time insights into emotional states.
• Accurate Emotion Detection: Recognises emotions with high precision using deep learning algorithms. • Real-Time Analysis: Processes facial expressions instantly, making it suitable for live interactions. • Multiple Emotion Categories: Supports detection of up to 7 basic emotions (happy, sad, angry, surprised, neutral, disgust, and fear). • Cross-Platform Compatibility: Works seamlessly on desktops, mobile devices, and integrated systems. • Customisable Settings: Allows users to fine-tune sensitivity and emotion thresholds. • Data Privacy: Ensures secure processing of facial data with compliance to privacy regulations.
What devices does Facial Emotion Recogniser support?
Facial Emotion Recogniser is compatible with most modern smartphones, tablets, and desktop computers. It can also be integrated into IoT devices and security systems.
How accurate is Facial Emotion Recogniser?
The tool achieves an accuracy rate of 95% or higher under optimal lighting conditions. Accuracy may vary based on image quality and environmental factors.
Is my data secure when using Facial Emotion Recogniser?
Yes, all data processed by Facial Emotion Recogniser is encrypted and anonymised to ensure user privacy and compliance with data protection laws.