Uses the MobileNet-SSD pre-trained model. Implements a simple and efficient deep learning approach for object detection. Displays results with bounding boxes and labels on the input image. Python 3.x ...

This Python project focuses on detecting abandoned objects ... which helps in distinguishing between static and dynamic objects in the scene. Motion detection algorithms further assist in tracking ...

MMDetection is a Python toolbox built as a codebase exclusively for object detection and instance segmentation tasks. It is built in a modular way with PyTorch implementation. There are numerous ...

This application eventually came up with some basic concepts that are likely OpenCV, an open-source library with some functions that can be used for object detection, and the combination of python 2.7 ...

Researchers have been studying the possibilities of giving machines the ability to distinguish and identify objects through vision for years now. This particular domain, called Computer Vision or CV, ...

Abstract: The paper has covered topics ranging from how artificial intelligence and machine learning algorithms help in object detection to how OpenCV is such a useful tool for beginners who wish to ...

His object recognition software runs on a Raspberry Pi equipped with a webcam, and also makes use of Open CV. [Evan] notes that this opens up a lot of creative low-cost detection applications for ...

This guide outlines a detailed process for setting up the hardware, configuring the software, and implementing Python-based object detection, counting, and positional tracking. By using pre-built ...