The IoT JumpWay is an IoT platform that provides a high performance, scalable and efficient solution for IoT developers and Makers. The platform provides the fundamental services that allow you to securely distribute data from IoT devices and manage and control them securely via applications.
The platform provides an IoT PaaS for IoT communication, tutorials and examples. The IoT JumpWay Intel® examples provide example projects that you can use to get started using the IoT JumpWay for your Intel® IoT projects. Connect Intel® devices and sensors to the IoT JumpWay and control/monitor sensors/actuators and data to and from the devices.
"The Intel® AI DevCloud is a cluster of Intel® Xeon® Scalable Processors that will assist you with your machine learning and deep learning training and inference compute needs. It provides access to precompiled software optimized for Intel® architecture on Intel® Xeon® Scalable Processors."
- Python: Intel® AI DevCloud TASS Trainer. Train TASS on the Intel® AI DevCloud platform.
"Intel® Movidius™ VPUs drive the demanding workloads of modern computer vision and AI applications at ultra-low power. By coupling highly parallel programmable compute with workload-specific hardware acceleration, and co-locating these components on a common intelligent memory fabric, Movidius achieves a unique balance of power efficiency and high performance. Movidius technology allows device makers to deploy deep neural network and computer vision applications in categories such as smartphones, drones, intelligent cameras and augmented reality devices."
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TASS Movidius Classifiers. The TASS Movidius Classifiers are computer vision programs using a number of different models including Inception V3, Yolo, dlib, OpenCV and Facenet.
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Breast Cancer Classification Using Computer Vision & IoT. Breast Cancer Classification Using Computer Vision & IoT combines Computer Vision and the Internet of Things to provide researchers, doctors and students with a way to train a neural network with labelled breast cancer histology images to detect Invasive Ductal Carcinoma (IDC) in unseen/unlabelled images.
"The Intel® Computer Vision SDK is a comprehensive toolkit that can be used for developing and deploying computer vision solutions on Intel® platforms, including autonomous vehicles, digital surveillance cameras, robotics, and mixed-reality headsets."
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Windows Console: TASS PVL Webcam. A Computer Vision security system using the Intel® CV SDK & webcam.
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Windows Console: TASS PVL RealSense. A Computer Vision security system using the Intel® CV SDK & RealSense.
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Arduino: LCD Control Example. Set up an Arduino 101 IoT device that can control other IoT devices on the same network using the LCD Keypad Shield and communication via the IoT JumpWay.
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Arduino: LCD Intruder System Example. Set up an Arduino 101 intruder alarm system that is controlled by the DFRobot LCD Keypad Shield and communication via the IoT JumpWay.
- Arduino: Basic LED Example. Set up an Arduino/Genuino 101 that allows control of an LED, and also an application that can control the LED via the IoT JumpWay.
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Python: Basic LED Example. Set up an Intel® Edison that allows control of an LED, and also an application that can control the LED via the IoT JumpWay.
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Python: Dev Kit LED Example. Set up an Intel® Edison that allows control of an LED on an IoT Dev Kit and an application that can control the LED via the IoT JumpWay.
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Python: Dev Kit IoT Alarm, Set up an Intel® Edison IoT alarm system that is controlled by the IoT JumpWay.
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Python: Basic LED Example. Set up an Intel® Galileo that allows control of an LED, and also an application that can control the LED via the IoT JumpWay.
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Python: Dev Kit LED Example. Set up an Intel® Galileo that allows control of an LED on an IoT Dev Kit and an application that can control the LED via the IoT JumpWay.
Please feel free to create issues for bugs and general issues you come across whilst using this or any other Intel® related IoT JumpWay issues. You may also use the issues area to ask for general help whilst using the IoT JumpWay in your IoT projects.
