Wistron has been granted a patent for an electronic device and method to configure a head-up display using quantum machine learning. The device obtains and processes data related to a driver’s line of sight to optimize display content and improve user experience. GlobalData’s report on Wistron gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Wistron, Device power optimization was a key innovation area identified from patents. Wistron's grant share as of February 2024 was 77%. Grant share is based on the ratio of number of grants to total number of patents.
Configuring head-up display using quantum machine learning model
A recently granted patent (Publication Number: US11919395B1) discloses an electronic device designed for configuring a head-up display using quantum machine learning models. The device includes a transceiver, storage medium, and processor that work together to obtain coordinate values and statistic values related to a person's line of sight. By inputting this data into the quantum machine learning model, the device can estimate statistic values and configure the display area accordingly. Additionally, the device can determine writing direction, position of display content, and adjust the perceptual span of the person based on various factors such as historical coordinate values, vehicle speed, and relative traffic flow. The quantum machine learning model is trained using a loss function to minimize errors between output statistic values and ideal values.
Furthermore, the electronic device can adjust the size of the display area based on vehicle speed, configure display content according to average gaze duration, and select candidate statistic values with maximum probabilities. The method outlined in the patent involves obtaining coordinate and statistic values, inputting them into the quantum machine learning model, and configuring the display area based on the estimated statistic values. It also includes steps for adjusting display content based on gaze duration, vehicle speed, and selecting optimal statistic values. The patent emphasizes the use of quantum machine learning models to enhance the configuration process of head-up displays, providing a detailed framework for optimizing the user experience based on various input parameters and historical data.
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