The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
This figure illustrates the difference between digital and physical attacks in the context of remote sensing. It is observed that: • For physical attacks, the attacker manipulates either the actual ...
For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
AI detects objects in images by using computer vision techniques that analyze the visual features of an image. The process typically involves using a convolutional neural network (CNN) to identify ...
AVENTURA, Fla.--(BUSINESS WIRE)--Safe Pro Group Inc. (Nasdaq: SPAI) (“Safe Pro” or the “Company”), a leading provider of artificial intelligence (AI) solutions specializing in drone imagery processing ...
Local AI just took a big leap. Larger models and generative workloads now run at the edge without the cloud. Here is why it ...
The optimized detection model is integrated into both a mobile application and a dedicated edge device, demonstrating that real-time waste detection can operate reliably without cloud connectivity.
The partnership between Lantronix and Safe Pro Group reflects a broader transformation in how intelligence, security and autonomy converge at the edge. As defense and autonomous systems evolve, the ...
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