Illumination
Lighting presents numerous challenges in accurately capturing data during clinical and human-based studies. Our early-stage model addresses data accuracy, enabling a corrective and risk-free imaging routine.
Client
Generative AI, Research
Description
Lighting presents several challenges in accurately capturing data during clinical and human-based studies.
When participants are asked to provide imagery or images captured in a costly studio, exhibiting incorrect exposure or shadows, it renders the data corrupt and unusable. If detected early, it necessitates requesting participants to resend new images or travel to a nearby or distant studio location.
We have developed an early model that enables the correction of images in cases where shadows or exposure compromise the accuracy of tests and measurements. Our model provides an initial glimpse into the possibilities and will eventually be extended to handsets (mobile devices), ensuring flawless images and precise data measurements every time.
This solution reduces participant fatigue, minimizes risks, and advances the data collection process in a safe and secure manner.
Services
Human-Based Studies Clinicals Medical Healthcare
Illumination
Lighting presents numerous challenges in accurately capturing data during clinical and human-based studies. Our early-stage model addresses data accuracy, enabling a corrective and risk-free imaging routine.
Client
Generative AI, Research
Description
Lighting presents several challenges in accurately capturing data during clinical and human-based studies.
When participants are asked to provide imagery or images captured in a costly studio, exhibiting incorrect exposure or shadows, it renders the data corrupt and unusable. If detected early, it necessitates requesting participants to resend new images or travel to a nearby or distant studio location.
We have developed an early model that enables the correction of images in cases where shadows or exposure compromise the accuracy of tests and measurements. Our model provides an initial glimpse into the possibilities and will eventually be extended to handsets (mobile devices), ensuring flawless images and precise data measurements every time.
This solution reduces participant fatigue, minimizes risks, and advances the data collection process in a safe and secure manner.
Services
Human-Based Studies Clinicals Medical Healthcare
Illumination
Lighting presents numerous challenges in accurately capturing data during clinical and human-based studies. Our early-stage model addresses data accuracy, enabling a corrective and risk-free imaging routine.
Client
Generative AI, Research
Description
Lighting presents several challenges in accurately capturing data during clinical and human-based studies.
When participants are asked to provide imagery or images captured in a costly studio, exhibiting incorrect exposure or shadows, it renders the data corrupt and unusable. If detected early, it necessitates requesting participants to resend new images or travel to a nearby or distant studio location.
We have developed an early model that enables the correction of images in cases where shadows or exposure compromise the accuracy of tests and measurements. Our model provides an initial glimpse into the possibilities and will eventually be extended to handsets (mobile devices), ensuring flawless images and precise data measurements every time.
This solution reduces participant fatigue, minimizes risks, and advances the data collection process in a safe and secure manner.
Services
Human-Based Studies Clinicals Medical Healthcare
Shadows within an image can result in inaccurate data capture and have the potential to contaminate or bias a dataset. These risks increase the likelihood of the study's failure and introduce additional costs or extend the duration of the study.
An applied Generative AI research company that builds foundational models for the human-centric world.
19925 Stevens Creek Boulevard
Cupertino, CA, 95014
United States
Located between Apple Park and Apple Infinite Loop
sales@qtis.ai
©QTIS AI 2023
Image credits: GAN/Diffusion Models
An applied Generative AI research company that builds foundational models for the human-centric world.
19925 Stevens Creek Boulevard
Cupertino, CA, 95014
United States
Located between Apple Park and Apple Infinite Loop
sales@qtis.ai
©QTIS AI 2023