Hon Hai Precision Industry had 20 patents in future of work during Q2 2024. Hon Hai Precision Industry Co Ltd filed a patent for a collision warning method in electronic devices, which involves fusing radar and image information to recognize obstacles in a vehicle’s path, determining motion parameters, calculating collision time, and issuing a warning. GlobalData’s report on Hon Hai Precision Industry gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Hon Hai Precision Industry had no grants in future of work as a theme in Q2 2024.
Recent Patents
Application: Method for collision warning, electronic device, and storage medium (Patent ID: US20240127694A1)
The patent filed by Hon Hai Precision Industry Co Ltd describes a method for collision warning in an electronic device that involves fusing radar information and image data to recognize obstacles in a vehicle's path, determine their motion parameters, calculate collision time, and issue a warning. The electronic device includes a processor and storage device to execute these functions. Additional features include determining relative distance and velocity between obstacles and the vehicle, predicting obstacle movement, calibrating radar and camera devices, and using deep neural networks for object recognition.
Furthermore, the method involves calculating collision countdowns based on motion parameters, relative distances, predicted moving distances, and braking distances of the vehicle. The processor is also configured to cluster point cloud data, determine obstacle categories, and issue warnings based on countdown comparisons. The patent also covers the calibration of radar and camera devices, fusion of radar and image data, and projection of point clouds onto images. Overall, the patent outlines a comprehensive system for collision warning in vehicles that integrates radar and image data for accurate obstacle detection and collision prediction.
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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.
