ines has been very difficult. In this chapter we will discuss different steps in object recognition and introduce some techniques that have been used for object rec gnition in many applications. …

Jun 10, 2021 · Object detection is the second most accessible form of image recognition (after classification) and a great way to spot many objects at high speed. Deep learning-based …

Download scientific diagram | Overview of the system architecture for object detection and recognition, showing its three main modules (Feature Extraction, Memory and Recognition) …

Apr 29, 2024 · Software architecture diagrams are an important documentation practice that will help you plan for and implement changes in your network, visualize strategic initiatives, and …

Object detection is a process in computer vision that involves identifying specific objects and their locations within digital images or video frames. This process involves two key steps: detecting …

Object visual detection (OVD) aims to extract accurate real-time on-road environment information, which involves three phases detection of objects of interest, recognition of detected...

... this section, we describe the main process of our system to ensure the object detection using YOLO algorithms via HoloLens. The software development contribution is based on client …

Jan 26, 2021 · Object recognition is refers to a collection of related tasks for identifying objects in digital photographs. Region-Based Convolutional Neural Networks, or R-CNNs, are a family of …

Feb 5, 2023 · This template depicts the architecture of a web-based Optical Character Recognition (OCR) and object detection system. On the client side, the main user interface …

We propose the use the general purpose Yolo algorithm to high-level object detection in design diagrams. We report the results of our experiments of training and using Yolo to detect objects …