Q-FACE Engine
AI Facial Authentication Solution
Q-Face Engine is an AI facial authentication solution designed for On-Device usage, specifically optimized for embedded systems and applications that demand security through non-contact biometric authentication.
Widely adopted across diverse industries, our solution leverages extensive experience and expertise in optimizing performance across various NPU (Neural Processing Unit) platforms, ensuring superior authentication for our clients.
FEATURES
Protected Against Facial Spoofing
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Detect fake faces, images, and photos to safeguard against facial spoofing
Authentication accuracy and speed
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Ensuring high authentication performance despite diverse conditions like direct sunlight, low light, and user changes such as accessories.
Accurate authentication despite diverse races and facial variations.
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Ensuring precise authentication despite changes like varying races, masks, hairstyles, headwear, and glasses, through dynamic templates that improve facial authentication matching accuracy.
Developer-friendly tools and customized solutions for each customer
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Providing development tools tailored to customer development environments and operating online technical support channels.
Facial authentication algorithms in various environments.
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Developed over 20 years with expertise in access authentication, our AI algorithms ensure high recognition rates despite environmental constraints like varying brightness and light angles.
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Our technology, utilizing dynamic templates, enhances facial authentication accuracy, enabling access authentication despite variations like different races, masks, glasses, hats, beards, and hairstyles.
Facial Spoofing Detection Algorithm
Detecting fake faces, images, and photos to safeguard against facial spoofing
Cross-validation Algorithm
Enhancing the accuracy of cross-validation between RGB-NIR camera images.
Mask Detection Algorithm
Detecting mask wearing and distinguishing between wearers and non-wearers (including partially worn masks).
Face Attribute Algorithm
Predicting additional details such as face direction, presence of accessories (glasses, hats), age, gender, and emotions.