Patents by Inventor Ryan Burt
Ryan Burt has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 12485581Abstract: A tile saw includes a saw with a cutting blade, a frame supporting the saw, a table supporting a workpiece and being slidable relative to the frame, and a rear fence secured to the table. The rear fence has an engagement surface and is adjustable between an operating position and a bypassed position. The bypassed position includes the engagement surface of the fence being no higher than even with the planar surface of the table to allow a workpiece to extend beyond a rear edge of the table. In the operating position, the engagement surface of the rear fence projects axially from the planar surface of the table to support the workpiece as the workpiece is pushed into the cutting blade during operation. The fence can be adjusted between the operating and bypassed positions by using any one of a cam lever clamp, pin and guideway, or rotatable latch.Type: GrantFiled: March 14, 2024Date of Patent: December 2, 2025Assignee: TECHTRONIC CORDLESS GPInventors: Nicholas Costanzo, Michael Hart, Eric M. Nevel, Charles Moody Wacker, II, Ryan Burt
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Publication number: 20240217138Abstract: A tile saw includes a saw with a cutting blade, a frame supporting the saw, a table supporting a workpiece and being slidable relative to the frame, and a rear fence secured to the table. The rear fence has an engagement surface and is adjustable between an operating position and a bypassed position. The bypassed position includes the engagement surface of the fence being no higher than even with the planar surface of the table to allow a workpiece to extend beyond a rear edge of the table. In the operating position, the engagement surface of the rear fence projects axially from the planar surface of the table to support the workpiece as the workpiece is pushed into the cutting blade during operation. The fence can be adjusted between the operating and bypassed positions by using any one of a cam lever clamp, pin and guideway, or rotatable latch.Type: ApplicationFiled: March 14, 2024Publication date: July 4, 2024Applicant: TECHTRONIC CORDLESS GPInventors: Nicholas Costanzo, Michael Hart, Eric M. Nevel, Charles Moody Wacker, II, Ryan Burt
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Patent number: 11958213Abstract: A tile saw includes a saw with a cutting blade, a frame supporting the saw, a table supporting a workpiece and being slidable relative to the frame, and a rear fence secured to the table. The rear fence has an engagement surface and is adjustable between an operating position and a bypassed position. The bypassed position includes the engagement surface of the fence being no higher than even with the planar surface of the table to allow a workpiece to extend beyond a rear edge of the table. In the operating position, the engagement surface of the rear fence projects axially from the planar surface of the table to support the workpiece as the workpiece is pushed into the cutting blade during operation. The fence can be adjusted between the operating and bypassed positions by using any one of a cam lever clamp, pin and guideway, or rotatable latch.Type: GrantFiled: December 2, 2019Date of Patent: April 16, 2024Assignee: TECHTRONIC CORDLESS GPInventors: Nicholas Costanzo, Michael Hart, Eric M. Nevel, Charles Moody Wacker, II, Ryan Burt
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Patent number: 11783636Abstract: A method and system are disclosed for monitoring passengers in within a cabin of a vehicle and determining whether the passengers are engaging in abnormal behavior. The method and system uses a novel vector to robustly and numerically represent the activity of the passengers in a respective frame, which is referred to herein as an “activity vector.” Additionally, a Gaussian Mixture Model is utilized by the method and system to distinguish between normal and abnormal passenger behavior. Cluster components of the Gaussian Mixture Model are advantageously learned using an unsupervised approach in which training data is not labeled or annotated to indicate normal and abnormal passenger behavior. In this way, the Gaussian Mixture Model can be trained at a very low cost.Type: GrantFiled: June 15, 2021Date of Patent: October 10, 2023Assignee: Robert Bosch GmbHInventors: Yumi Kondo, Ryan Burt, Krishnan Bharath Navalpakkam, Alexander Hirsch, Naveen Ramakrishnan, Filipe Goncalves, Stefan Weissert, Jayanta Kumar Dutta, Ravi Kumar Satzoda
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Publication number: 20210312238Abstract: A method and system are disclosed for monitoring passengers in within a cabin of a vehicle and determining whether the passengers are engaging in abnormal behavior. The method and system uses a novel vector to robustly and numerically represent the activity of the passengers in a respective frame, which is referred to herein as an “activity vector.” Additionally, a Gaussian Mixture Model is utilized by the method and system to distinguish between normal and abnormal passenger behavior. Cluster components of the Gaussian Mixture Model are advantageously learned using an unsupervised approach in which training data is not labeled or annotated to indicate normal and abnormal passenger behavior. In this way, the Gaussian Mixture Model can be trained at a very low cost.Type: ApplicationFiled: June 15, 2021Publication date: October 7, 2021Inventors: Yumi Kondo, Ryan Burt, Krishnan Bharath Navalpakkam, Alexander Hirsch, Naveen Ramakrishnan, Filipe Goncalves, Stefan Weissert, Jayanta Kumar Dutta, Ravi Kumar Satzoda
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Patent number: 11132585Abstract: A method and system are disclosed for monitoring passengers in within a cabin of a vehicle and determining whether the passengers are engaging in abnormal behavior. The method and system uses a novel vector to robustly and numerically represent the activity of the passengers in a respective frame, which is referred to herein as an “activity vector.” Additionally, a Gaussian Mixture Model is utilized by the method and system to distinguish between normal and abnormal passenger behavior. Cluster components of the Gaussian Mixture Model are advantageously learned using an unsupervised approach in which training data is not labeled or annotated to indicate normal and abnormal passenger behavior. In this way, the Gaussian Mixture Model can be trained at a very low cost.Type: GrantFiled: December 17, 2019Date of Patent: September 28, 2021Assignee: Robert Bosch GmbHInventors: Yumi Kondo, Ryan Burt, Krishnan Bharath Navalpakkam, Alexander Hirsch, Naveen Ramakrishnan, Filipe Goncalves, Stefan Weissert, Jayanta Kumar Dutta, Ravi Kumar Satzoda
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Publication number: 20210182617Abstract: A method and system are disclosed for monitoring passengers in within a cabin of a vehicle and determining whether the passengers are engaging in abnormal behavior. The method and system uses a novel vector to robustly and numerically represent the activity of the passengers in a respective frame, which is referred to herein as an “activity vector.” Additionally, a Gaussian Mixture Model is utilized by the method and system to distinguish between normal and abnormal passenger behavior. Cluster components of the Gaussian Mixture Model are advantageously learned using an unsupervised approach in which training data is not labeled or annotated to indicate normal and abnormal passenger behavior. In this way, the Gaussian Mixture Model can be trained at a very low cost.Type: ApplicationFiled: December 17, 2019Publication date: June 17, 2021Inventors: Yumi Kondo, Ryan Burt, Krishnan Bharath Navalpakkam, Alexander Hirsch, Naveen Ramakrishnan, Filipe Goncalves, Stefan Weissert, Jayanta Kumar Dutta, Ravi Kumar Satzoda
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Publication number: 20200180185Abstract: A tile saw includes a saw with a cutting blade, a frame supporting the saw, a table supporting a workpiece and being slidable relative to the frame, and a rear fence secured to the table. The rear fence has an engagement surface and is adjustable between an operating position and a bypassed position. The bypassed position includes the engagement surface of the fence being no higher than even with the planar surface of the table to allow a workpiece to extend beyond a rear edge of the table. In the operating position, the engagement surface of the rear fence projects axially from the planar surface of the table to support the workpiece as the workpiece is pushed into the cutting blade during operation. The fence can be adjusted between the operating and bypassed positions by using any one of a cam lever clamp, pin and guideway, or rotatable latch.Type: ApplicationFiled: December 2, 2019Publication date: June 11, 2020Inventors: Nicholas Costanzo, Michael Hart, Eric M. Nevel, Charles Moody Wacker, II, Ryan Burt