Getting a timely diagnosis of autism spectrum disorder is a major challenge, but new research shows that how young adults, and potentially children, grasp objects could offer a simpler way to diagnose ...

Abstract: The few-shot object detection (FSOD) in remote sensing (RS) faces a fundamental challenge in balancing contextual feature learning with the representation stability. Current approaches ...

Abstract: Maritime environments often face visibility challenges due to haze which significantly impacts detection models. However, existing maritime object detection algorithms often neglect haze ...

For instance, it uses indicative joint name substrings for foot classification and predefined velocity/height thresholds for foot contact detection-heuristics that ... for the following outputs as ...

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a GPU or AI accelerator ...

His object recognition software runs on a Raspberry Pi equipped with a webcam, and also makes use of Open CV. [Evan] notes that this opens up a lot of creative low-cost detection applications for ...