In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

Sonar image object detection plays a crucial role in obstacle detection ... Finally, the conclusion is drawn in Section 5. Figure 3. The overall architecture of the proposed multi-level feature ...

Abstract: The core challenge in camouflaged object detection (COD) is identifying objects that ... We are the first to apply neural architecture search (NAS) to COD, introducing an automatic ...

This collaboration was undertaken as part of Smiths Detection’s Ada Initiative, the company’s structured framework for accelerating responsible open architecture in security screening.

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...

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 ...