Flaw Detection
We accurately classify common skin issues such as acne, acne scars, freckles, moles, and rosacea to offer users more precise skin analysis results.
We accurately classify common skin issues such as acne, acne scars, freckles, moles, and rosacea to offer users more precise skin analysis results.
Scientifically identifies the type of dark circles (pigmented or vascular
Skin age may not reflect the user's actual age, but it is an excellent indicator of their health and lifestyle.
We pay close attention to every detail of our users' skin, including blackheads that are typically invisible without magnification. Our high-resolution blackhead detection technology can identify even the tiniest blackheads, ensuring they have nowhere to hide.
After identifying various types of facial wrinkles, such as forehead wrinkles, crow's feet, eye wrinkles, smile lines, and fine lines around the eyes, we can assess the level of impact and provide users with more reliable data tailored to their specific situation.
Scientifically, there are four skin types: oily, dry, normal, and combination. We identify the skin type in different areas of the face and detect specific problems that may occur.
According to international standards, there are 40 distinct skin tone levels. Our technology can accurately determine the precise level for each individual user.
Large pores are difficult to detect unless viewed up close. Our high-resolution pore detection technology identifies facial pores and addresses issues before they become noticeable.
PixelDermScan SDK utilizes state-of-the-art image recognition and AI algorithms to assess skin health. By capturing high-resolution images with a smartphone camera, the SDK processes these images to detect and analyze various skin conditions. The deep learning models are trained on extensive dermatological datasets, ensuring accuracy and reliability in the provided insights.
Integrate dermatological assessments into telehealth platforms
to offer
remote consultations and follow-up care.
Empower users to assess and monitor their skin health, providing
tailored
skincare recommendations
Enhance diagnostic capabilities in clinics, allowing
dermatologists to
quickly analyze and monitor skin conditions.
Android, iOS, Windows, and Linux.
Minimum 8MP camera resolution for high-quality skin image analysis.
Compatible with integration languages like Swift, Java, Python, and C++.
Pre-trained on a large dataset of dermatological images to ensure
accurate analysis.
Requires devices with at least a dual-core processor and stable
lighting conditions for optimal performance.
Provides users with detailed, accurate analysis for better skin health management.
Assess skin health without the need for specialized hardware—just use a smartphone.
Easily adaptable to a variety of applications, from individual skincare to professional healthcare.
Interested in adding advanced skin and wound analysis to your application? Contact us today to learn more about PixelDermScan SDK and how it can enhance your dermatological solutions.