Infineon Technologies had four patents in robotics during Q4 2023. Infineon Technologies AG has developed a method for detecting and tracking human activities near a robot by combining data from a time-of-flight sensor and a radar sensor to accurately detect the presence of humans, estimate their direction and speed of motion. This process is enhanced by a machine-learning model trained on two-dimensional ToF images and radar sensor data. 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 robotics 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: Detection and tracking of humans using sensor fusion to optimize human to robot collaboration in industry (Patent ID: US20230373092A1)
The patent filed by Infineon Technologies AG describes a method and apparatus for detecting and tracking human activities near a robot using a combination of two-dimensional images from a time-of-flight sensor and data from a radar sensor. The fused sensor data is used to detect the presence of a human, estimate the direction and speed of their motion, and control the robot's actions accordingly. The process involves machine learning models trained on the sensor data to perform these tasks accurately, with additional sensors like lidar, sound, or chemical sensors being optionally integrated for more comprehensive data collection.
The method and apparatus outlined in the patent claims involve sophisticated sensor fusion techniques to enhance the robot's ability to detect and track human activities effectively. By combining data from multiple sensors and utilizing machine learning models, the system can accurately identify humans, estimate their motion parameters, and trigger appropriate responses such as generating images with graphical features or sending alarms. The inclusion of various additional sensors in the apparatus allows for a more comprehensive analysis of the environment, enabling the robot to respond intelligently to human presence and movement in real-time.
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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.
