Smart Queuing System DevCloud
- 0 Collaborators
A smart IoT queue system for the retailer and transportation system on the edge device. The proposed project examines the job profile on the device as a video AI solution on the edge using Intel® hardware and software tools. The app detects people in a specified area and accordingly detects. ...learn more
Project status: Concept
Internet of Things, Artificial Intelligence
Intel Technologies
DevCloud,
Movidius NCS
Overview / Usage
The people counter script will use the Inference Engine included in the Intel® Distribution of OpenVINO™ Toolkit. To test out the script and determine which hardware would be best for a particular use case we use a job submission script Intel DevCloud to test the scripts on different hardware. To propose a hardware we take a note of the model loading time, inference time and FPS to do so.
Methodology / Approach
The Intel® DevCloud for the Edge is a cloud service designed to help developers prototype and experiment with computer vision applications using the Intel® Distribution of OpenVINO™ Toolkit. Once registered, developers can access a series of Python and C++ based Jupyter Notebook tutorials and sample solutions and execute them directly from a web browser. Then, developers can create their own Jupyter Notebooks and quickly try them out on a variety of hosted Intel® hardware solutions specifically designed for deep learning inferencing.
The Intel® DevCloud for the Edge provides you with access to everything needed to begin working with sample applications, prototypes and tutorials. This includes pre-trained models, source code, test input images, video and data streams. Additionally, users can apply any of the pre-trained deep learning models available through the Intel® Distribution of OpenVino™ toolkit, or upload their own customized pre-trained deep-learning models to develop and test their own computer vision applications.
Technologies Used
- Intel® Distribution of OpenVINO™ toolkit 2019 R3 release.