Thales today announced new detection and response capabilities in the Imperva Application Security platform to protect ...

Deep learning fundamentally transformed UAV navigation and object detection by enabling the automatic extraction of complex, high-dimensional features directly from raw data. Convolutional Neural ...

They also include the design of the user interface and run-time behavior, conceptual design model, abstract navigational model, and conventional criteria {8}. A Data Flow Diagram (DFD) was used during ...

Designing for data flow is critical as data volumes grow. Engineering teams must manage the tradeoffs between data quantity and speed, as well as design around data size, operating frequency, data ...

Therefore, we present a deep learning technique based on the unified real-time object detection algorithm to estimate traffic flow and vehicle speed in DAS data and evaluate them ... As the spectrum ...

Object detection and classification have been developed on top of TensorFlow Object Detection API, see for more info. Object color prediction has been developed using OpenCV via K-Nearest Neighbors ...

Using data flow diagrams, it is possible to know the flow of data through each of the systems and processes being used within your organization. Though often used during the development of a new ...

we have got Tensor flow Object Detection API to train model and we have used Faster R-CNN algorithm for implementation. The model is built on two classes of threatening Objects. The model is evaluated ...