Seiko Epson had 19 patents in artificial intelligence during Q4 2023. The patents filed by Seiko Epson Corp in Q4 2023 include methods and systems for calibrating robot arms using machine learning models, a display system that uses machine learning to determine content based on human behavior, a method for recognizing object position and posture using depth estimation and depth sensors, and a plasticizing device with measurement units and a control unit to identify the state of plasticized material in the flow path. GlobalData’s report on Seiko Epson gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Seiko Epson grant share with artificial intelligence as a theme is 47% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method of calibrating camera to robot, system, and non-transitory computer-readable storage medium storing computer program (Patent ID: US20230419545A1)
The patent filed by Seiko Epson Corp. describes a method for calibrating a camera to a robot arm using machine learning models and encoder values. The method involves estimating pixel coordinate values of characteristic points on the robot arm from an image captured by the camera, converting these values into 3D camera coordinate system values, calculating 3D robot coordinate system values using encoder data, and repeating these steps for multiple robot arm postures to determine calibration parameters, including the camera's external parameters. The system and computer program described in the patent are configured to execute this calibration process efficiently and accurately.
The method outlined in the patent involves a systematic approach to calibrating a camera to a robot arm, ensuring precise alignment and accurate parameter estimation. By utilizing machine learning models and encoder values, the process can be automated and repeated for various robot arm postures, leading to comprehensive calibration results. The system and computer program detailed in the patent are designed to streamline this calibration process, making it accessible and effective for a wide range of applications requiring camera-to-robot calibration.
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