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Automated Assessment of Concrete Cracks in Bridges by Exploiting UAV-Based Lidar and Camera Data

A collection of algorithms processing RGB image with Lidar data for detection and quantification of concrete cracks with high accuracy Institute Reference: INV-22013 Background Crack detection and characterization of concrete bridges is extremely important to define maintenance strategies and to optimize interventions. Existing crack assessment...

Published: 9/10/2024 | Inventor(s): Jerome Hajjar, Yujie Yan

Keywords(s): Crack detection, Crack quantification, Lidar data, RGB images, Unmanned aerial vehicle

Category(s): -Sensors, Technology Classifications > 3. Computer Science > Deep Learning, Technology Classifications > 3. Computer Science > High Performance Computing, Technology Classifications > 3. Computer Science > AI, Technology Classifications > 3. Computer Science > Computing Methods

A Robust Infant 2D Pose Estimation and Posture Detection System

Data Efficient Machine Learning: Infant Pose and Posture Estimation Institute Reference: INV-21102 Background Recent advances in computer vision have led to powerful human activity recognition models. However, models trained on large-scale adult activity datasets have limited success in estimating infant actions/behaviors due to the significant differences...

Published: 9/10/2024 | Inventor(s): Sarah Ostadabbas, Xiaofei Huang, Nihang Fu, Shuangjun Liu

Keywords(s): Data Efficient Machine Learning,, Domain Adaptation, Infant Pose and Posture Estimation, Transfer Learning

Category(s): Technology Classifications > 3. Computer Science > High Performance Computing, Technology Classifications > 3. Computer Science > Deep Learning, Technology Classifications > 3. Computer Science > Imaging, Technology Classifications > 3. Computer Science > Software, Technology Classifications > 1. Life Science > Digital Health

Self-Powered Analog Computing Architecture with Energy Monitoring to Enable Machine-Learning Vision at the Edge

INV-19034 Background The internet-of-things (IoT) is how the networking sensors are placed on everyday physical objects to perform meaningful sensing and communication. Since its conception, IoT has been touted as the next wave of computing with exponential growth prospects however this growth outlook has been tempered by technological challenges....

Published: 9/10/2024 | Inventor(s): Aatmesh Shrivastava

Keywords(s):

Category(s): Technology Classifications > 3. Computer Science > IoT, Technology Classifications > 3. Computer Science > Deep Learning

Methods for generating high stability gain structure and filters in integrated circuits

INV-19033 Background Internet–of–Things (IoT) envisions a large scale deployment of ultra-low-power (ULP) electronic devices integrated into our environment to perform meaningful sensing and communication. However, existing IoT devices have lower available power and can perform only a limited amount of sensing, processing, and communication,...

Published: 9/10/2024 | Inventor(s): Aatmesh Shrivastava

Keywords(s):

Category(s): -Sensors tech, -Communications, Technology Classifications > 3. Computer Science > IoT, Technology Classifications > 3. Computer Science > Deep Learning