In this paper, we proposed a remote AI server associated with an object detection model to deal with multiple video streams in real-time. Our server framework ...

This paper deals with a resource efficient artificial intelligence (AI) service architecture for multi-channel video streams. As an AI service, we consider the ...

This paper deals with a resource efficient artificial intelligence (AI) service architecture for multi-channel videostreams. As an AI service, ...

This paper deals with a resource efficient artificial intelligence (AI) service architecture for multi-channel videostreams. As an AI service, ...

Feb 2, 2024 · The TensorFlow Lite section delves into the technical nuances of this framework, highlighting its role in enabling real-time object detection on ...

Jul 1, 2024 · In this article, we will delve into real-time object detection using TensorFlow, Google's open-source machine learning framework.

In this tutorial, we look at Baidu's RT-DETR object detection framework, and show how to implement it in a Paperspace Notebook.

Aug 15, 2024 · This study presents a real-time framework for object detection and tracking for security surveillance systems.

May 13, 2024 · Explore object detection architectures like YOLO and Cascade R-CNN, known for their speed and precision, and discover the benefits and real-world applications.

Additionally, they adopted a sequential computation order, allowing the convolutional layers to share the computation resource effectively.