Popular Tags
#Edge AI Computing #Slim Bootloader #Fast Resume & Low Power Standby #AMD® Ryzen™ Embedded 8000 Series #M2A-OOB #EXT-OOB (Lite) #EXT-OOB (Full) #RM101-OOB #OOB #Out-Of-Band (OOB) #14th Gen Intel® Core™ Processor #Intel® Core™ Ultra processors #Server Boards #Intel Atom® Processor E3900 Series #Intel Atom® Amston Lake Processors #MXM #NVIDIA AI #IoT #Windows 11 #AI #AMD® Ryzen™ V2000 Series Processors #Qualcomm® #HMI #Intel #AMD #SIM Slot #Compact PC #5G #PoE #AGV #AMR #SCARA #NXP i.MX 8MHigh Performance AMD Ryzen™ R2000 Processor-PCSF51
Equipped with flexible expandability and I/O versatility, this energy-efficient SBC is tailored for use in industrial applications, robotics, edge computing, AI vision systems, and more.
Thank you for taking this survey. Your feedback will help us improve our official website and provide a better user experience.
Dissatisfied
Somewhat dissatisfied
Neutral
Somewhat satisfied
Very satisfied
Your feedback has been successfully submitted. Thank you very much for your time and participation.
Close
In the battles against the COVID-19 pandemic, demands of screening devices and efforts are increasing. Also, more labor has been put into monitoring body temperatures of those at public entrances. To help lift off some of the burdens, DFI recently rolled out a new smart solution — the Centralized Smart Thermal Control System for smart entrance to automatically detect massive feverish people at the same time.
In major transportation facilities such as airports, stations where there are multiple entrances, DFI also provides high end model. Multiple areas can be configured on the camera to simultaneously track each body temperature to ensure smooth traffic flow.
The system combines the thermal and IP cameras into one to synchronize both infrared and RGB footages. That way, snapshots of the feverish can be instantly marked with temperature readings and stored in the database by the system, which in the meantime also alerts the staff to take actions. Also, it integrates face recognition attendance system and database to track down the feverish people.
The system will further be enriched technologies to fulfill the needs of comprehensive applications such as facial recognition for surveillance and fire protection engineering, and become a more robust safety net. The smart system does not solely assist the pandemic control as a short-term goal, but it aims to pave the way to a smart city in the long run.
The Centralized Smart Thermal Control System is based on the integration between hardware and software — DFI's high-performmance IPC and ioNetworks' signal capturing technologies — can tell the access control system to initiate a lockdown of an electronic entrance, deny the access, and block the feverish outside.
If you would like to learn more about our solutions, please feel free to download the related materials.
Flyer
Download Flyer
Manual
Download iMage-E User Manual
Download iMage-M User Manual
Download iMage-F User Manual
The design of conventional factories where production units are highly single-purposed and rely on additional treatments has been gradually obsoleted by automation. Only by optimizing computing cores for the added services can the yield rate live up to the level of the AIoT future, which does not necessarily lead to a total makeover for the factories. The one major goal of DFI's AIoT solution is to cut the corners by adopting the latest computing platforms and software technologies seen in Smart Factories, all the while keeping your legacy production lines intact.
Factories dread an upgrade not because the machines are worn, but because the renewed IPCs, OS environments, and software integrations lack backward compatibility. It's a valid concern, but it's not always true. DFI's IPC refresh plan combined with Intel hypervisors makes sure all the legacy configurations and data processing flows are migrated effortlessly. With legacies on board, the AIoT facets then come into play － now that new-gen computing resource is embedded, automated processes and intelligence can be implemented on top to further optimize manufacturing efficacy.
Defect rates of multiple machines on the product line may multiply due to their physical separation, and these machines based on separate OS environments may each require its own IPC, abusing synchronization and maintenance efforts. With DFI's computing excellence, these platforms can all be consolidated onto one single physical IPC using Intel ACRN™ Hypervisor VMware technology. By virtually dividing resources into multiple areas, different OS platforms are able to be simulated on one IPC to tackle multiple operations, for example, Robot ARM on RTOS, HMI on Windows, and AOI on Linux, breaking the boundaries between various purposes.
Facial recognition, object detection, and quality verification that base on machine vision rely not solely on hardware computing capacity such as CPU and GPU, but also on the integration with learning mechanisms. Conventional architectures of IPCs were not designed to tackle the hunger for machine learning in an AI future, not until the engines became market available, such as Intel's OpenVINO™ deep learning optimizer. The toolkit uses trained models to optimize hardware execution for syncing with specific frameworks used by different applications, pushing the curve of computer learning onto an exponential growth.
In alignment with Intel's vision, DFI has been zoning in on designing comprehensive solutions that foresee AIoT and AI ubiquity. Since smartization of high-end factories is an inevitable future, IPC refresh and the incorporation of Intel's latest roll-outs will be one of the pillars in the success of Smart Factories.
The Intelligent Predictive Maintenance (IPM) orchestrates real-time conditions of all product lines by analyzing sensor-collected data such as vibration, sound and temperature measurements. The engineer ready statistics, also used for automatic inspection, exponentially increases the efficacy and efficiency of maintenance, and replaces error-prone visual/instrumental inspections.
Driven by intelligent algorithms, fluctuations of device conditions are recorded to make early predictions of repair timings, schedule for maintenance, and provide insights into inventory management through deep learning and prescriptive analysis. The pre-emptive strategies eliminate sudden shutdown, extend lifetime, and reduce downtime and overall expense.
Farewell to those costly online measuring machines. Automatic fine tune while producing is made possible using Automatic Virtual Metrology (AVM) system. The AVM algorithm relies on sensor data to generate an index for each metrology value, and dynamically tune for precision. It turns delayed offline random inspection into real-time online total inspection, making IPM an economical alternative for QA, which is great news for industries that only allow offline inspections, such as semiconductor, panel, and machine tools.
Different from traditional deployment of measuring machines — one on each production line, the cyber-powered, server-based AVM system allows all production lines of the same sort to share one measuring machine at affordable loading, saving space and saving costs.
DFI's expertise in industrial PCs provides embedded systems of various sizes, I/O combinations, and performance levels that cater to your business’s specifics — no matter installing several sensors in one system, driving the device and sensors at the same time, or sharing a measuring machine with multiple production lines. DFI, in hand with iMRC, promises to help automate your production, minimize error-induced costs, and steer on through the next wave of Industry 4.0.
COPYRIGHT© DFI 2024. ALL RIGHTS RESERVED. | Privacy Policy | Site Map
