How BodyScan Works

scan bodyscan duration <60 seconds data returned body circumference, body composition (body fat %), health indicators, like waist hip ratio, health risks, like type 2 diabetes and obesity processing on device platforms ios, android ios submodule size 54mb android submodule size 70mb min requirements iphones ios 12 1 or above android android 8 or above, 64 bit, and opengl 3 1 support requirements to operate internet connection, remote assets, user input requiring only a function call to launch, our bodyscan is designed to be triggered from anywhere within your app below is a typical journey a user will go through to access the scan and subsequently their scan results, consisting of the scan process bodyscan requirements there are some important aspects that need to be considered prior to triggering the bodyscan see body scan requirements step 1 phone alignment to make sure the user’s phone is placed in the correct position to take a scan, the user must move the phone until the circles are on top of each other this ensures the phone is placed within a tolerance of 0 1 5 degrees to allow for the correct imaging to take place after the user has successfully aligned their device, the front and side image capture process will begin step 2 front and side image capture starting with the front image, an outline will appear on the screen with a 10 second countdown the user will need to fit their bodies within the outline and wait until the countdown finishes after the successful front image capture, the side image capture begins the user has 10 seconds to fit themselves into the outline step 3 image inspection after capture has completed for both the front and side images, each image is analyzed to ensure the user’s face, hands and feet are in the correct place this ensures we can accurately measure the user's body behind the scenes image inspection utilizes our machine learning algorithms to analyze the images captured, ensuring there is a face, hands, feet and they're in the correct location step 4 confirmation the confirmation step shows the images taken during the capture process within the outline this allows the user to double check that their body is within the outline, ensuring accurate results confirming both front and side images begins the image processing, generating the results tapping 'try again' will send the user back to take the front and side images again behind the scenes we process the images on the device using hardware accelerated machine learning models this means no images ever leave the device