Infineon Technologies had 24 patents in artificial intelligence during Q4 2023. Infineon Technologies AG’s patents in Q4 2023 focus on radar systems utilizing millimeter-wave radar sensors and neural networks for target detection, vital sign estimation, people counting, and object detection. These patents describe methods for processing radar signals, generating raw digital data, and utilizing machine learning models to enhance radar data processing and analysis. The radar systems are designed to improve accuracy in detecting and tracking targets, estimating vital signs, counting people, and performing velocity estimation of detected objects. The use of neural networks and machine learning models enhances the capabilities of radar systems for various applications. GlobalData’s report on Infineon Technologies gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Infineon Technologies grant share with artificial intelligence as a theme is 25% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Parametric cnn for radar processing (Patent ID: US20230408649A1)
The patent filed by Infineon Technologies AG describes a method and system for radar signal processing using a millimeter-wave radar sensor and a neural network. The method involves transmitting radar signals towards a target, receiving reflected signals, generating raw digital data, processing it through a constrained L dimensional convolutional layer of a neural network, and further processing the data through additional layers to extract information about the target. The system includes a sensor, an AI accelerator, and optionally a DSP, all integrated to track and process data associated with the target efficiently.
The claims of the patent detail the method steps, including classifying the target, providing its location using different imaging techniques, training the neural network with specific parameters, and tracking the target based on the generated information. The system claims involve the integration of the sensor, AI accelerator, and DSP in a single circuit for streamlined processing, showcasing the efficiency and accuracy of the radar signal processing system. The use of chirps, specific filters, and neural network layers in the method and system highlights the advanced technology employed for target detection and classification, particularly focusing on human targets and their activities.
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