This letter presents the development of a real-time object detection system using frequency modulated continuous wave millimeter-wave (mmWave) radar signals and the python productivity for zynq ...

In this article, author discusses techniques for securing AI applications in healthcare with a use case of early detection system for medical data analysis & diagnosis using a layered architecture. BT ...

In object detection, network architecture design is a commonly used method for lightweight. ... edge deployment device utilizes the NVIDIA Jetson AGX Orin with 32GB of RAM and runs the Ubuntu 20.04 ...

TL;DR Key Takeaways : The Raspberry Pi AI HAT, combined with YOLO models, enables real-time object detection, counting, and positional tracking for applications like security and automation.

Researchers have unveiled a vision system inspired by feline eyes to enhance object detection in various lighting conditions. Featuring a unique shape and reflective surface, the system reduces ...

The associated TIDEP-01027 reference design demonstrates using the device in corner and front long-range radar systems for functions such as blind-spot detection, front cross-traffic assist, and ...

TSA’s commitment to international collaboration is detailed in the Open Architecture for Airport Security Systems 2nd Edition. Near and Long-Term Plans. In terms of future plans, TSA is concurrently ...

This Python script uses OpenCV to detect objects in a video stream. It processes a video file, applies edge detection, and identifies potential objects using the Hough Line Transform. The script ...

VOLOv3 was found to have a high-level accuracy for 2D and 3D object detection of 96% and 97%, respectively. The system even works in harsh conditions, something that current offerings for 3D object ...