That is exactly what this Raspberry Pi object detection project demonstrates. You can build a fully working object detection ...

As adults, it is our duty to follow traffic rules, and the most important rule is to wear a helmet while riding a two-wheeler ...

Abstract: The object detection and tracking is the important steps of computer vision algorithm. The robust object detection is the challenge due to variations in the scenes. Another biggest challenge ...

BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...

Integrating malicious AI models 6 into software supply chains presents a significant and emerging threat to cybersecurity. The attackers aim to embed malicious AI models in software components and ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

In recent years, the exploitation of three-dimensional (3D) data in deep learning has gained momentum despite its inherent challenges. The necessity of 3D approaches arises from the limitations of two ...

Abstract: Communication is the only way we can communicate or express ourselves, but for those with disabilities like deafness and neuropathy face challenges in communicating with others. To enhance ...

TensorFlow is an open-source platform developed at Google for machine learning and artificial intelligence. It offers a full ecosystem of tools, libraries, and community resources for the development, ...

A novel approach has been proposed to achieve human detection in photos, videos, along with real-time detection using the system webcam and via the external camera. We will gradually learn and build ...

This wiki describes how to work with object detection models trained using TensorFlow Object Detection API. OpenCV 3.4.1 or higher is required. Deep learning networks in TensorFlow are represented as ...

Object detection is a computer vision task that involves identifying and locating objects of interest within an image or video stream. This task has many practical applications, such as surveillance, ...