FingerSense is the world’s first software-only solution that can distinguish between touchscreen inputs such as fingertip, knuckle, nail, and stylus. It is powered by Qeexo’s lightweight machine learning technology and leverages data from existing sensors on the device.
Huawei, the world’s third largest smartphone manufacturer, uses Qeexo FingerSense technology (rebranding it as “Knuckle Sense”). With FingerSense, Huawei smartphone users gain access to many powerful tools. For example, users can use a knuckle to knock twice on the display to take a screenshot, or to draw the letter “M” using a knuckle to open a user-defined music app. FingerSense was rated top value-added software in Huawei Device Co—36.6% of Huawei users frequently use FingerSense*.
The demand for FingerSense grew rapidly after launch, and Qeexo’s ability to meet the demand from customers became limited by the traditional machine learning development process. Development times were lengthy, visibility into the data was poor, and the workflow required constant oversight and error checking. In order to meet the demand of nearly 100 commercial projects per year, Qeexo developed AutoML.
TongXin is a toy manufacturing company in China that wanted to produce a toy magic wand. With the use of accelerometer and gyroscope sensors, the wand would play different sounds and display different colors when performing various gestures in the air. Unfortunately, the accuracy for identifying the different gestures was unsatisfactory and the product could not be commercialized prior to Qeexo AutoML.
KwangSung Corporation is an automotive parts manufacturer and Tier 1 supplier for Hyundai Motor Company and Kia Motors with its operations in Korea, America, China, and India. It wanted a better way to detect defects in “quarter garnish” parts, including scratches, gas marks, short shots, and black spots. Before AutoML, KwangSung employed workers to visually inspect parts with their bare eyes.