Vapourtec has recently unveiled their Reaction Controller and Datalogger Module which improves the automation of flow chemistry experiments by enabling automated control and logging when using ...

It serves as the benchmark for evaluating a variety of tasks, including stereo images, optical flow ... dimensional object detection. Figure 7. Comparison of ablation study results. Furthermore, the ...

Abstract: Real-time object detection ... flow information and Optical Flow Guided Optimization (OFGO) to optimize model parameters considering both localization loss and optical flow reliability.

If the camera module’s cable is too short for your setup, use an adapter to extend its reach. This hardware configuration forms the backbone of your object detection system, providing the ...

Abstract: With the prosperity of deep learning (DL) techniques, salient object detection in remote sensing images (RSI ... we propose a new network for RSI-SOD, namely semantic flow and ...

YOLOv7 is already being regarded as a milestone in the object detection industry ... The technique can be further divided into two categories, model-level ensemble, and module-level ensemble. Now, to ...

As for the object detection module, in short, it is an extension module of the ... and then transforms the path information into speed and other related information through Figure 4. Flow chart of ...

The tracking thread uses GMM combined with the YOLOv3 method for dynamic object detection and uses ... The principle diagram of dynamic target detection combining VSLAM and GMM is shown in Figure 2, ...