SICK Automation has launched a set of deep-learning software and services called dStudio, making artificial intelligence (AI) more accessible to the southern African market. This software works with machine vision solutions and simplifies quality inspection of components, assemblies, barcodes, surfaces, food produce and more.
The deep-learning software allows users to set up AI image classification onboard SICK smart devices. This allows these devices to use specially optimised neural networks to make decisions automatically and run accurate and reliable inspections.
dStudio is a SICK web service that can be used to train neural networks that are optimised for various devices, simply by inserting sample images of correct/incorrect examples. The image inference is carried out directly on the device in a short and predictable decision time, without the need for an additional PC. Results are sent to the control system as sensor values. Unlike its predecessors, dStudio removes the laborious process of developing rules and algorithms to identify patterns or defects. This removes the time-consuming process for harder-to-identify patterns/defects, such as leather creases, different nuts, or wood grain.
Intuitive user interface
dStudio offers an intuitive user interface, making it accessible to users without skilled AI knowledge. For more experienced users, the SICK AppSpace software platform allows them to create and customise their own deep learning sensor apps. Training progress and success are shown in clear graphics so that the trained neural network can be assessed prior to running it in an application. Further saving time and implementation costs, all system training takes place in the Cloud, removing the need for additional hardware or software training.
SICK deep learning is supported by the Inspector P 621 2D vision sensor and the SIM 1012 programmable sensor integration machine with SICK’s Picocam or Midicam streaming cameras. In time, the deep learning will also be enabled across both SICK smart 2D and 3D vision sensors, as well as data processing gateways.
“We believe that SICK’s deep learning products are the future of automation,” concludes Grant Joyce, head of sales, marketing and product management at SICK Automation South Africa. “Being accessible and economical, this technology can easily be implemented across Africa, offering massive boosts in efficiency, productivity and safety.”
Bringing brownfield plants back to life Schneider Electric South Africa
IT in Manufacturing
Today’s brownfield plants are typically characterised by outdated equipment and processes, and face challenges ranging from inefficient operations to safety hazards. However, all is not lost, as these plants stand to gain a lot from digitalisation and automation.
Read more...Award-winning Gen AI solutions
IT in Manufacturing
Amazon Web Services recently hosted an exclusive event in South Africa on ‘Elevating Possibilities with Partners - a Showcase of GenAI Excellence’. This event brought together ten esteemed partners, including Synthesis Software Technologies, to highlight innovative advancements in the field of Generative AI.
Read more...AI is driving data centres to the edge Schneider Electric South Africa
IT in Manufacturing
The data centre has become the cornerstone that links our digitally interconnected world. At the same time, the rapid growth and application of AI and machine learning (ML) is shaping the design and operation of data centres.
Read more...Full-scale central control room simulator Valmet Automation
IT in Manufacturing
Valmet will deliver a full-scale central control room simulator to Nordic Ren-Gas, the leading Nordic green hydrogen and e-methane developer in Finland.
Read more...Re-imagining business operations with the power of AI
IT in Manufacturing
inq. has introduced a range of artificial intelligence solutions to assist organisations across industry verticals in optimising business operations and improving internal efficiencies.
Read more...Safe, sustainable cycling helmet technology Siemens South Africa
IT in Manufacturing
Lazer Sport, one of Europe’s leading cycling helmet manufacturers, has adopted the Siemens Xcelerator portfolio of industry software to bring to market KinetiCore, its new proprietary rotational impact protection technology.
Read more...Defending against modern-day cyber threats
IT in Manufacturing
The anatomy of cyber threats has changed, meaning that organisations can no longer rely on traditional cybersecurity solutions to protect their perimeter, but should instead rethink their data protection strategy and become proactive in their defence against breaches.
Read more...Data centre sector 2024 market outlook
IT in Manufacturing
As the world adapts to the digital transformation of almost every aspect of everyday life, the data centre sector, which plays such a pivotal role in digitalisation, is constantly evolving.
Read more...Reinventing the workforce in the age of generative AI
IT in Manufacturing
Generative AI has burst onto the scene. It appeared fast, and is evolving even faster. Its impact on value chains will fundamentally transform the nature of work, reshaping how businesses deliver value, and delivering better experiences for employees and customers.
printer friendly version