ADVERTISEMENT FEATURE Machine vision
MACHINE VISION AND ITS INCREASING POPULARITY
MACHINE VISION AND ITS INCREASING POPULARITY
Axiomtek says machine vision can be the key contributing factor for successful machine-to-machine (M2M) communications, quality control applications and machine and deep learning
F
or quality control, machine vision supports accurate detection of measurements, inspection of parts, the guidance of assembly robots and
correct ID reading, all of which can be done in real-time. Machine vision can also enhance machine learning processes from delivering the collections of visual data and facilitate (M2M) communications.
An embedded system for machine vision
The machine vision-based embedded systems address critical industrial IoT needs, including monitoring of various conditions during the production process. For example, machine vision is used to detect defects and anomalies during the production process in a factory environment. The results are better product quality, control as well as productivity improvements. It is also used for predictive maintenance and helps facilitate the machine learning process.
For instance, eBOX671B, a fanless embedded system designed to provide high- speed connectivity for on-premise and cloud servers, enables real-time hosting of industrial machine vision systems. Purpose-built for extensive I/O connectivity options for multi- camera imaging applications and supports multiple display interfaces, including two
18 March 2025 | Automation
This industrial-grade embedded system also features dual DDR5 SO-DIMM, supporting up to 64GB of memory, ensuring enhanced storage and graphics capabilities to accommodate various cameras, lighting, and controllers tailored for diverse inspection requirements. Equipped with Intel® R680E chipset and optional MXM 3.1 Type A, it harnesses the latest graphics technologies, making it an excellent choice for demanding machine vision applications. More importantly, this robust embedded computer plays a crucial role in high-speed image acquisition and processing. It is particularly vital for machine vision systems managing robotic operations, where safety and precision are paramount in avoiding human-robot collisions.
Axiomtek’s eBOX671B is highly scalable, processors provide ample capacity for handling multiple simultaneous data collection streams while delivering an immersive visual experience with 4K Ultra HD graphics support.
Machine learning applications demand
reliable high-speed connectivity with sensors, on-premise servers, or cloud computing environments. The eBOX671B’s 3 x 2.5 GbE* LAN and 1 x 1GbE LAN, with
for seamlessly connecting sensors and cameras. PoE technology eliminates the need for additional power sources, simplifying the integration of edge sensors and actuators and machine-to-server communication. Additionally, PoE reduces networking costs by consolidating backup power and transmitting both data and power over a single Ethernet cable. The eBOX671B provides four PoE options (IEEE802.3at, up to 60W), ensuring uninterrupted power delivery for continuous camera operation in machine vision applications such as automated optical inspection (AOI).
What the future may bring As machine vision continues to evolve, its role in industrial automation and machine advancements in real-time data processing and IoT connectivity, production lines will improve, and machine-to-machine (M2M) communication will be more seamless. These innovations will pave the way for smarter, interconnected systems that boost productivity and drive progress across various industries.
Axiomtek
www.axiomtek.co.uk
automationmagazine.co.uk
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