The proposed system redefines smart livestock farming by eliminating the need for wearable devices and manual observation.

Brain-inspired spiking neural networks bring real-time AI to edge devices, boosting performance, reducing power use, and ...

The integration aims to enhance real-time AI, strengthen public safety programs, and support smart city initiatives.

Traditional object detection algorithms, including both two-stage models like Faster R-CNN and one-stage variants such as ...

CT-Bound decomposes boundary estimation into two tasks: local detection and global regularization. “During the local detection, the model uses a convolutional architecture ... maps on real captured ...

Today, MatrixSpace, a leader in AI-enhanced radar sensing technology, announced that MatrixSpace 360 Radar is using Dell Technologies AI-powered edge computing to enhance its radar sensor solutions.

Built on Nvidia’s BlueField data processing units, DOCA Argus enables agentless, real-time ... detection speeds up to 1,000 times faster than existing agentless solutions without affecting ...

Machine vision is critical for automation and Artificial Intelligence (AI). But how are new components and modules making ...

Our proposed architecture ... object dimension measurement with the assistance of an edge extraction algorithm [1]. In order to improve the edge detection technique we propose to smooth the video with ...