Eagle Eye Networks, the global leader in cloud video surveillance, today introduced Eagle Eye Precision Person & Vehicle Detection. This AI-powered feature runs entirely in the cloud, and works on any ...

In such a resource-constrained scenario, there are challenges of low accuracy and high computational requirements. Methods: This paper proposes IYFVMNet, an improved lightweight detection network ...

The framework was evaluated using two comprehensive event-based datasets Prophesee's Generation 1 (GEN1) and Person Detection for Robotics (PEDRo).

How to build your custom object detector? The repo demonstrates on how to get started on creating your custom object detection model using Tensorflow. For this demo, I am using ssd_mobilenet_v2 as the ...

Multiple objects in real-time video streams are detected using the Tensor Flow Object Detection API. The system then detects trends and alerts the user if an abnormality is discovered. Finding ...

In this paper, we propose using TensorFlow Object Detection API, based on the combination of deep convolutional neural networks (CNNs). We investigate the performance of Faster RCCN, RFCN, and SDD ...