DeepAffex
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About
DeepAffex is a sophisticated, cloud-based platform developed by NuraLogix to measure and analyze human physiological health through a process called Transdermal Optical Imaging™ (TOI). By leveraging the standard cameras found on smartphones, tablets, and laptops, the platform extracts facial blood-flow information that is otherwise invisible to the naked eye. The core technology relies on the fact that human skin is translucent, allowing light to reflect off different layers below the surface. As the heart beats, blood pulses through the facial tissue, creating subtle color changes that the TOI technology captures and sends to the DeepAffex Cloud for intensive processing. The platform is built on what NuraLogix calls Affective Ai™, a specialized form of artificial intelligence designed to detect and measure physiological states that impact a person's quality of life. For developers, DeepAffex offers a comprehensive suite of tools, including the Anura Core SDK for mobile integration and a Web Measurement Service (WMS) for browser-based applications. These tools provide access to DFX Points, which are specific biosignals derived from the analysis. The platform is highly developer-centric, providing extensive API documentation, GitHub resources, and a dedicated support portal to streamline the integration of health-sensing capabilities into existing software ecosystems. This tool is primarily designed for developers, health researchers, and wellness service providers who want to implement touchless health monitoring. It is particularly useful for building applications in corporate wellness, telehealth, and personal health management. A significant advantage for global enterprises is the platform's compliance with major data regulations, including HIPAA, GDPR, SOC2, and PIPEDA. The DeepAffex Cloud is structured as a mesh of distributed clusters, allowing for regional data localization to ensure that sensitive health information is processed and stored according to specific geographic legal requirements. What distinguishes DeepAffex from other health-monitoring solutions is its completely non-invasive, camera-based approach, which eliminates the need for wearable sensors or specialized hardware. It is important to note that the platform does not perform facial recognition; instead, it uses facial landmarks solely to identify regions of interest for blood-flow extraction. However, users should be aware that the technology is currently intended for Investigational Use Only and is not a substitute for clinical judgment or a medical device. Results can be influenced by environmental factors such as lighting quality and physical obstructions like heavy makeup or facial hair.
Pros & Cons
Completely touchless measurement using standard smartphone cameras.
Fully compliant with global data regulations including GDPR and HIPAA.
Supports regional data localization for specific geographic requirements.
Extensive developer documentation and SDK support for multiple platforms.
Prioritizes privacy by avoiding facial recognition technology.
Restricted to investigational use only and is not a medical device.
Accuracy is highly dependent on ambient lighting and optical quality.
Physical obstructions like heavy makeup or beards can prevent successful scans.
Requires high signal-to-noise ratio which isn't always guaranteed by simple star ratings.
Use Cases
Wellness app developers can integrate the SDK to allow users to monitor heart rate and stress via a simple 30-second selfie scan.
Health researchers can utilize the API and DFX Points to collect physiological data for investigational studies on human affect.
Corporate wellness platforms can deploy the Web Measurement Service to provide touchless health checks for employees through their browsers.
Telehealth providers can use the technology to gain general wellness insights from patients during remote consultations.
Mobile developers can leverage Anura Lite to build health-tracking apps that don't require external wearable hardware.
Platform
Features
• soc2 & hipaa compliance
• face-tracker roi detection
• regional data clusters
• dfx points reference api
• web measurement service (wms)
• anura core sdk
• affective ai™ engine
• transdermal optical imaging™
FAQs
What is DeepAffex?
DeepAffex is a cloud-based platform that assesses physiological health by analyzing facial blood-flow data. It uses Transdermal Optical Imaging technology to extract this data from a standard selfie camera video stream.
Does the technology perform facial recognition?
No, it does not identify or recognize users. It uses facial landmarks solely to identify relevant regions of interest on the face where blood-flow information can be extracted.
Is DeepAffex a medical device?
No, it is for investigational use only and is not intended to diagnose, treat, or prevent any disease. It should not be used as a substitute for clinical judgment by a health care professional.
Where is the measurement data stored?
The DeepAffex Cloud uses distributed clusters hosted in specific geographic regions. This allows for data localization to meet regional requirements for data processing and storage.
What can interfere with the measurement results?
Results may be negatively affected by facial obstructions such as heavy makeup, glasses, caps, or heavy beards. Optimal results require a clear view of the face and high-quality optical lighting.
Pricing Plans
Contact for Pricing
Unknown Price• Anura Core SDK access
• Web Measurement Service (WMS)
• DeepAffex Cloud API access
• DFX Points Reference
• Regional Data Localization
• Developer Guide & Documentation
• Support Portal access
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
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