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Inner Analytics Personalizes Food Intake Tracking Through its Computer Vision Technology
The computer vision technology in the dietary monitoring landscape will enable patients to monitor their nutritional intake and avoid chronic diseases.
FREMONT, CA: Nutrition intake plays a crucial role in maintaining health. However, following a balanced nutrition plan might be challenging. To simplify food management, Inner Analytics recently launched a computer vision technology which enables users to manage their nutritional intake using their smartphone camera conveniently.
Inner Analytics integrates computer vision technology and patented analytical methods to provide users with the knowledge of what they consume and help them manage their intake. It not only aids users to maintain a balanced diet but also prevent chronic diseases by assisting them in monitoring their food. The medical company directly collaborates with clinicians and patients to augment their offerings.
The technology is designed to empower people to live healthy and happy by helping them track their food intake. Inner Analytics' solution introduces scientific rigor into the nutrition tracking process, providing clinicians and patients with trustworthy information to aid them in making the right decisions for their well-being.
Inner Analytics will customize and deploy its technology with Cleveland Clinic Canada, allowing patients to track their intake through their smartphone camera accurately. The technology leverages computer vision to generate evidence-based reports. It offers real-time feedback to patients and helps clinicians to create personalized dietary treatment plans. The collaboration with Cleveland Clinic Canada enabled Inner Analytics to tailor the platform as per the needs of the patients.
The company licensed the patents and technology from ISF Incubator, a startup division of Intellectual Ventures. The accelerator arm of the global invention and investment business company operates in Seattle, Washington, and Silicon Valley, California. ISF Incubator is committed to aiding Inner Analytics in providing patients with invaluable dietary information for maintaining their health.
By leveraging computer vision in the diet management sector, the Inner Analytics team is set to make a considerable impact on the digital health and wellness landscape. The medical company collaborated with the Hospital for Sick Children in the year 2015 to launch a similar application designed to help children and adolescents with type 1 diabetes manage their disease and keep track of their carbohydrate intake using machine vision technology. The development stage involved a multi-phase clinical research study to test the efficiency of the technology.