Device as a Data Source

Bring AI-Powered Cosmetic Screen Grading to end users at home

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With only the device's camera and a mirror, users receive an AI-based assessment that is over 99 percent accurate to determine the real value of their device. The self-grading process for the customer is as follows:




With only the device's camera and a mirror, users receive an AI-based assessment that is over 99 percent accurate to determine the real value of their device. The self-grading process for the customer is as follows:



➡️. Device verification: Verify the device's authenticity via an authentication code and International Mobile Equipment Identity (IMEI) number to ensure the user's device is not blacklisted.



➡️. Gamified pixel tests: Select the marked spots on the screen to provide an objective assessment of how many of the device's pixels are dead, and to determine screen reaction time to the user's touch.



➡️. Screen cosmetic grading: Using a mirror, open the device's screen-side camera and place it before the mirror to show the entire screen. The technology captures the screen and identifies its perimeter, while blanking the screen's content to protect user privacy.



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