Sas Institute Inc.

Andrey Matveenko

Varunraj Valsaraj

Sanjeev Shyam Heda

Kedar Shriram Prabhudesai

Jonathan Lee Walker

Hardi Desai

Jonathan James McElhinney

Rik Peter De Ruiter

Priti Upadhyay

Kunind Sahu

In some examples, a system can access video data collected from one or more image sensors. The system can execute a human detection model to detect a person within a region of interest proximate to the environment based on the video data. The system can also execute an object detection model to detect a presence or absence of personal protection equipment (PPE) based on the video data. The system can associate the PPE with the person to detect an unsafe PPE status. The system can determine that the unsafe PPE status has persisted for a predetermined period of time. In response to determining that the unsafe PPE status has persisted for the predetermined period of time, the system can generate a signal indicating the unsafe PPE status.

Detection of unsafe personal protection equipment status with multi-modal context awareness

In some examples, a system can access video data collected from one or more image sensors, the video data showing a region of interest proximate to a machine. The system can execute an object detection model to detect that a person is within the region of interest proximate to the machine based on the video data. The system can detect a motion status of a component of the machine. The system can execute a pose estimation model on the video data to estimate a pose of the person with respect to the machine. The system can detect a safety rule violation based on the pose of the person with respect to the machine, and the motion status of the machine. The system can transmit a signal to a controller of the machine in response to detecting the safety rule violation.

Detection and mitigation of unsafe behaviors using computer vision

Growing community of inventors

Phuket, Thailand

Andrey Matveenko