Object detection plays a pivotal role in advancing computer vision systems by enabling machines to perceive and interact intelligently with their environments. Despite significant advancements, ...

Camera-based object detection is widely used in safety-critical applications such as advanced driver assistance systems (ADAS) and autonomous vehicle research. Road infrastructure has been designed ...

For example, the following video shows a FOMO neural network detecting objects at 30 frames per second on an Arduino Nicla Vision with a little over 200 kilobytes of memory.

Abstract: As object detection becomes integral to many safety-critical applications, understanding its vulnerabilities is essential.Backdoor attacks, in particular, pose a significant threat by ...

AVENTURA, Fla., April 23, 2025--Safe Pro Group Inc. (Nasdaq: SPAI) ("Safe Pro" or the "Company"), a leader in artificial intelligence (AI)-powered defense and security solutions, today announced ...

For example, a heat-assisted detection and ranging method has been developed to overcome the ghosting effect in thermal images, providing performance that rivals conventional RGB imaging under ...

SIFT-based Image Feature Detection: The project begins with the application of the SIFT algorithm, a powerful tool for detecting and describing local features in images. SIFT is particularly useful ...