Améliorez votre activité dans le domaine de la beauté grâce à la technologie de scan facial par IA

Intégrez l'IA de reconnaissance faciale à votre plateforme pour analyser les traits du visage de vos clients. Permettez-leur d'obtenir des recommandations personnalisées en matière de produits de soin pour la peau.

Face detection & tracking with AI

The AI face scan technology can detect your customer's skin issues. It combines AI with AR to evaluate their skin health, identify concerns like wrinkles or pigmentations, and deliver personalized product recommendations. Thus, you can offer your customers appropriate beauty products to enhance their facial features
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Analyse interactive de la peau

GlamAR’s AI facial skin analysis SDK delivers real-time skin diagnostics using your customers’ camera inputs. It can detect their skin issues, such as pores, redness, dark circles, pigmentations, etc. They can get their personalized skin analysis reports through live videos across Android and iOS tablets as well as smart mirror systems

Accurate product recommendations

Face AI scan enables you to provide your customers with customized skincare products that can treat their specific skin issues. GlamAR’s AI skin analysis SDK can also help consumers visualize their future skin simulation results using recommended products. In this manner, you can offer your customers personalized products from your brands with face-scan AI. It may help you in marketing and promotion
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Questions fréquemment posées

AI face scan technology is a biometric system. It uses AI, machine learning, and computer vision to recognize your customers’ faces. It captures the consumer’s face and analyzes its unique features. AI image recognition software reads the geometry of their face in their images by looking at the distance between key facial features, creating a unique facial template. Then, it converts the features into numerical data called a “faceprint.”

AI face scan technology captures and maps your customer's face. It can measure the features: the distance between the eyes, the shape of the nose, and the outline of the face. Then, the details will turn into a unique code: “faceprint.” The face scanning system compares it with other data for feature assessment. AI and machine learning help the system learn and improve with time. Most importantly, deep learning makes facial recognition work better in different lighting, angles, and facial expressions.

It can be expensive to develop and maintain the AI face scan technology. On the other hand, managing personal data raises privacy and security concerns. If the AI is trained on limited data, it may show bias and give unfair results. You can find it difficult to integrate AI with existing systems. Plus, you need to gain customer trust and ensure consumers feel safe. The technology should work for people of all skin tones, ages, and genders in an accurate manner. Ensuring fairness, accuracy, and reliability across all consumers is essential for the success of your beauty brand.

The AI face scan technology can analyze your customers' faces. It can detect their skin type and tone. Also, it can discover their skin issues, such as acne, dark spots, wrinkles, etc. It helps your brand suggest the right skincare products and routines for your customers. The best part is: you may save time with its quick and accurate results. Apart from this, it provides valuable data to help you understand customer needs. Thus, it may help your brand develop products that will match their skin concerns and preferences.

Yes, AI face scan technology can be safe for consumers when handled responsibly. Trusted beauty brands use strong privacy and data protection systems. The scanned face data is stored securely and used only to provide better skincare suggestions. You should follow strict laws to protect your customers' personal details. The data must not be shared or misused. Data encryption and security tools keep the information safe from hackers. Your customers can also delete their data anytime. When implemented responsibly, it offers a safe, private, and helpful experience.

When developers use large and diverse datasets, the technology learns to recognize different skin tones and types in an accurate manner. It helps reduce bias and improve results for every consumer. Then, AI systems can detect facial features clearly, no matter the complexion or lighting. If the training data lacks diversity, its accuracy may vary. So, it is important for beauty brands to include people of all backgrounds when training AI models. With proper data, AI face scanning works fairly and equally for all consumers.

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