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 ...

To get started, gather the necessary components for your system: A Raspberry Pi 5 (2GB RAM or higher for optimal performance) An AI HAT (available in 13 or 26 TOP versions, depending on your ...

Data Anomaly Detection Using LightGBM. Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data ...

This project aims to do real-time object detection through a laptop camera or webcam using OpenCV and MobileNetSSD. The idea is to loop over each frame of the video stream, detect objects like person, ...

Its seamless integration with popular OCR and object detection frameworks allows users to experiment with other models and frameworks effortlessly. Additionally, it’s designed to be user-friendly.

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 ...

Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...