For software developers, the opportunity is clear: to accelerate business transformation by harnessing the power of data generated by connected things. With interoperable building blocks, purpose-built silicon, software tools, and ecosystem support, you can help accelerate your development of IoT solutions that incorporate your unique added value.
At the Intel demo showcase at Embedded World*, members of a broad Intel ecosystem showcased solutions enabled by Intel® IoT hardware technologies and software in four main areas: computer vision, edge AI, secure provisioning, and workload consolidation.
You can develop applications and solutions that emulate human vision with the Intel® Distribution of OpenVINO™ toolkit. Based on convolutional neural networks (CNN), the toolkit extends workloads across Intel® hardware (including accelerators) and maximizes performance, as shown in the following demos.
Intel® AI acceleration for object recognition
Demonstrating the performance capabilities of Intel® Core™ processors, integrated graphics, FPGAs and Intel® Movidius™ Vision Processing Units (VPUs), Kontron* demonstrated an Intel® Distribution of OpenVINO™ toolkit based neural network that recognized and identified objects from live camera imaging. The setup switched among the available accelerators to show the performance benefits of each.
Showcasing a low cost, targeted solution, well-suited to edge computing, Intel showed what can be done with the Intel Distribution of OpenVINO toolkit and Intel® Vision Accelerator Design products running on a ruggedized PC using an Intel® Arria® 10 FPGA and four USB cameras The demo identified and tracked faces as people moved from one camera’s field of view to the next.
Showing that it is now much easier to deploy machine vision on the factory floor, where it can be conducted by manufacturing operators rather than expert engineers, Foxconn* presented an Intel Atom® processor-based edge device with an FPGA-based smart camera capturing production images from factory machinery. The images then passed to Foxconn’s Deep Learning Suite running on an Intel® Xeon® processor-based edge gateway using the Intel Distribution of OpenVINO toolkit to create an image recognition inference model. The model then was sent back to the edge device for inferencing.
ADLINK* AI-based equipment inspection
Unifying equipment protocols to a standard and scalable interface, and delivering scalable, real-time connectivity for information-sharing in smart manufacturing, ADLINK* exhibited its DEX-100 solution using the Intel Atom® CPU, Intel Movidius VPU, and Intel Distribution of OpenVINO toolkit software. The DEX-100 solution is operations-ready for multiple PC-based machine types and uses optical character recognition (OCR) to converge fragmented extraction methods.
AI solution developers showcased remarkable breakthroughs across a variety of use cases, from factory safety to product quality assurance to medical diagnoses, and more. Intel is helping to powering AI’s rapid advance with high-performance technologies and development tools designed to meet the unique demands of AI in the cloud and at the network edge, as these demos show:
Intel demonstrated a worker safety compliance reference implementation using the Intel Distribution of OpenVINO toolkit and Intel® Vision Accelerator design products. The application helps ensure workers are wearing the required protection in a factory setting. Using the Inference Engine included in Intel Distribution of OpenVINO toolkit, a trained neural network detects people within a designated area, and the application uses facial detection and image recognition to determine if each person is wearing a safety-jacket and hard-hat. If not, an alert is registered. Learn more at the AI From Prototype To Production.
Showing the simplicity of the developer workflow using Intel® Software Developer Tools to create high-performance, end-to-end, industrial IoT and AI solutions, Intel showed an application that detects anomalies present in objects moving on a conveyor belt. The demo application is included in the Intel® IoT Developer Kit and also available on GitHub*.
AML/ALL Detection System
Demonstrating the powerful capabilities of Intel® AI/edge technologies including Intel Movidius and UP2* AI Vision DevKit, visitors to Intel's booth were able to see the AML/ALL Detection System, a locally hosted management system for uploading and classifying images of positive and negative Acute Lymphoblastic Leukemia cells. Using a classifier hosted on an UP2 and trained on Intel® AI DevCloud, visitors were able to see the proof of concept classify each image as positive or negative, and see if misclassifications were false negatives or false positives. Visitors were also able to see a natural language understanding engine hosted on an UP2 that powered a chatbot trained locally with information about Acute Myeloid and Lymphoblastic Leukemia.
Factories and businesses more securely deploy solutions like these with the Intel® Secure Device Onboard (Intel® SDO), replacing insecure USB-based configurations and highly-skilled installers to provision large numbers of devices at one time.
Secure device provisioning for edge computing
Siemens* joined Intel to demonstrate rapid provisioning of edge devices at scale with the Intel SDO service. The demo featured the Intel-based Siemens Nanobox IoT gateway and showcased provisioning edge devices to cloud-based environments such as Siemens* MindSphere* cloud device management.
Showcasing edge provisioning at scale with the Intel® SDO, Behr Technologies Inc.* (BTI) showed its packaged solution for end-to-end health and safety monitoring in high-risk environments. It delivers “last-mile” communications and uses a wearable device to collect health data from hundreds of workers. That data can be transmitted via a MIOTY*-enabled Advantech* base station and communicated to a Hitachi* Solutions IoT Service Hub via Microsoft* Azure* Cloud Services. The IoT Service Hub then can send alerts signifying worker danger.
These demos showcase the efficiency and effectiveness gained from consolidating multiple workloads on low-power/high-performance devices using Intel® processors and accelerators.
Showing how developers can use the Intel Distribution of OpenVINO toolkit to more efficiently and effectively consolidate multiple AI workloads in one edge device, IEI demonstrated automated optical inspection and operator safety assurance running simultaneously on a single IEI TANK* AIoT Developer Kit with an Intel® processor, integrated graphics, FPGA, and VPU.
Congatec* industrial AI workload consolidation
Congatec* demonstrated the multicore performance of the Intel® Core™ processor for virtual machine-based application consolidation. The demo featured its COM Express module, a small, rugged, power saving device for edge computing, running a control application on one core to balance a pendulum, with a second core operating the same demo again. A third core ran the Ubuntu* operating system and an Intel Distribution of OpenVINO toolkit-based AI application using the integrated GPU with a Basler* USB camera. A real-time hypervisor ran the two control applications in virtual machines, and their independent operation continued to perform without any impact when the demo was rebooted.
AI vision solution in smart manufacturing
Demonstrating the powerful capabilities of an Intel® architecture-based industrial PC with JWIPC Smart Industrial Development Kit software, JWIPC showcased computer vision and machine learning workloads consolidated on the same system with an HMI workload. A Basler camera viewed a rotating platform of PCB boards, and some of the boards had defects. The JWIPC software analyzed the video stream and detected the defects present on the boards. The HMI displayed the defects as they were detected.
The Intel® Developer Zone (Intel® DZ) offers a wide range of development resources for IoT professionals.
Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.
Notice revision #20110804