Wearable Devices

AI-Powered Precision for Non-Invasive Health Monitoring

Our advanced machine learning algorithms drive the development of innovative wearable devices, which we meticulously design and prototype to deliver precise, real-time, and non-invasive physiological monitoring. By leveraging cutting-edge AI, sensor technology, and data analytics, our wearables provide accurate insights into vital health parameters, enhancing early detection, personalized healthcare, and overall well-being. With a strong focus on reliability, comfort, and accessibility, we aim to revolutionize physiological monitoring for both medical professionals and everyday users.

PinCam Eatwise

"AI smart pin that sees your food, speaks it, and logs it."

PinCam Eatwise is a prototype of a smart pin designed as a support for the visually impaired. Through an integrated camera, it allows the acquisition of an image of what you are eating. The image is then analyzed by innovative Large Language Models algorithms that return a detailed description of the food, provided as an audio output. This detailed description of the quantity of macronutrients and micronutrients within the photographed food can be directly inserted into a web food diary. Our device contributes to the integration of people with disabilities, introducing a compact and functional accessory into everyday life.

The project is in a prototype phase. An initial prototype of the device has been developed, which includes the hardware configuration and the writing of the basic software for image capture and processing via the OpenAI API.

Chewing - Be what you eat

"Optimize digestion through smart chewing analysis."

The Chewing device is applied in the context of digestive health and general well-being, aimed at those who want to improve their eating habits. Currently, there are EMG devices that monitor chewing, but none offer a comprehensive and personalized analysis like Chewing, which aims to optimize digestion. Chewing is an innovative device that uses electromyography to analyze chewing, monitoring the time, number and intensity of chewing. You get a detailed assessment of your chewing habits, promoting overall well-being through personalized feedback and suggestions to improve your eating habits.

The project is currently in the implementation and testing phase. We are currently collecting data and feedback to further optimize the device.

Skid - Skin Care Detector

"Smart Skin Analysis – Fast, Precise, and Personalized."

SKID revolutionizes skincare by combining autofluorescence technology with artificial intelligence to deliver fast, cost-effective, and non-invasive skin analysis. Designed for consumers, cosmetic professionals, and dermatologists, SKID precisely determines skin biotypes, personalizes treatments, and enables early diagnosis of skin conditions. By utilizing a specialized light source, it overcomes the complexity and high costs of traditional methods, making advanced skin assessment more accessible and accurate than ever before.

SKID is in the experimental phase, with promising preliminary results in the detection of skin biotypes via autofluorescence. We are refining the AI algorithm and conducting further tests to validate the system. We have plans for future deployments and collaborations to improve and deploy the technology

ReaCT - Heartbeat Dynamics Monitoring

"Smart Training, Personalized Performance, Stronger Heart."

REACT is a groundbreaking solution designed for fitness professionals and individuals looking to optimize their cardiovascular health through personalized training. Unlike conventional algorithms, REACT provides real-time biometric analysis, delivering tailored feedback based on each user's unique physiological responses during exercise. By integrating initial calibration with standardized tests, it ensures precise personalization, enhances training effectiveness, and boosts motivation. Its versatility adapts to different fitness levels and activity types, making REACT a powerful tool for anyone seeking to maximize performance and well-being.

The REACT algorithm has been incorporated into a patent application already filed, covering the design of a wearable device that we aim to develop in the future.

Neuroscent

"Decoding Senses, Unveiling Brain Responses."

NEUROSCENT is a project for the study of objective olfactory capacity and gustatory evaluation using Machine Learning classification of EEG measurements. In practice, EEG signals acquired through a wearable electroencephalographic device are wirelessly transmitted for real-time analysis during sensory stimulation. NEUROSCENT provides real-time quantifiable assessments of olfactory-gustatory capabilities and brain waves evoked during such stimulation, representing valuable support in healthcare, the food industry, and environmental monitoring. NEUROSCENT aims to develop a wearable device for odor recognition, revolutionizing the way we analyze olfactory perception.

Currently, we are in the development phase, focusing on refining our machine learning algorithm and collecting high-quality EEG data to lay the groundwork for future implementation