Toyota Motor had 189 patents in artificial intelligence during Q2 2024. Toyota Motor Corp’s patents in Q2 2024 include an identity authentication device using voiceprint, wording, and utterance method for authentication, a system for determining carbon credits based on driving styles, a navigation system predicting accidents and displaying collision targets, a method for updating training datasets for traffic light detection models, and a personalized speed limiter for vehicles controlled through user input on a user interface. GlobalData’s report on Toyota Motor gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Toyota Motor had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Identity authentication device (Patent ID: US20240211570A1)
The patent filed by Toyota Motor Corp. describes an identity authentication device that utilizes speech data input by a user to perform authentication based on voiceprint, wording, and utterance method. The authentication sentence, generated at the time of authentication, is presented to the user along with a set utterance method, which can include factors such as utterance speed, inflection, or emotional expression. The device sets an authentication deadline from the time the sentence is presented, ensuring the user inputs speech data within a specified timeframe for authentication.
Furthermore, the authentication process involves matching the wording, voiceprint, and utterance method detected from the input speech data with predetermined threshold values to authenticate the user. The device considers factors such as the degree of matching between the wording in the input speech data and the authentication sentence, the voiceprint of the user compared to pre-registered data, and the match between the detected utterance method and the set method at the time of authentication. By incorporating these elements into the authentication process, the device aims to enhance security and accuracy in verifying the identity of the user based on their speech patterns and characteristics.
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