Micron Technology had seven patents in internet of things during Q2 2024. Micron Technology Inc filed a patent for smart glasses with a digital camera and processing device using an artificial neural network to analyze images with different quantization levels for energy efficiency. Another patent involves cruise control for vehicles, where data from sensors is used to control speed while maintaining a safe distance from another vehicle, and if sensor data is not usable, the vehicle switches to a mode where it maintains a constant speed and obtains additional data from external sensors or a passenger’s mobile device to ensure safe distance. GlobalData’s report on Micron Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Micron Technology had no grants in internet of things as a theme in Q2 2024.
Recent Patents
Application: Quantization at different levels for data used in artificial neural network computations (Patent ID: US20240161489A1)
The patent filed by Micron Technology Inc. describes a pair of smart glasses equipped with a digital camera and a processing device that utilizes an artificial neural network to analyze images captured by the camera. The processing device applies different quantization levels to data from various regions of the image, adjusting the accuracy of the weight data accordingly to reduce energy consumption. Based on the output of the neural network, the glasses can overlay virtual content onto the user's view of reality.
The patent further details a method and device for implementing this technology, involving the storage and manipulation of weight data to analyze image data captured by the glasses. The device includes an array of memory cells, voltage drivers, and a logic circuit to process the data. By quantizing data from different image regions with varying levels of accuracy, the device can optimize energy consumption while effectively analyzing and presenting virtual content through the smart glasses.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
