IT, New Media & Software

Tuesday, 20 August 2019 10:57

SICK drives Industry 4.0 forward with deep learning sensor application

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The basis of the solution is a camera with deep learning functionality. In the lumber industry, the solution can be used to determine where the age rings and the core are in order to ensure good processing of the lumber.

SICK Automation has developed a sensor solution that operates on the basis of deep learning algorithms. Following the SICK AppSpace eco-system that permits realisation of flexible solutions for automation applications, the deep learning sensor solution permits previously unimagined applications and contributes to driving Industry 4.0 forward.

Presented to delegates at the 2019 Hannover Fair, this deep learning technology is used by SICK in the industrial environment to specialise the functionality of its sensors. In this environment, the sensor learns to process information and therefore receives new functions. In addition, new processes are possible on the basis of adapted sensors. The sensor supplies, processes and analyses data using self-learning algorithms. 

As an example, sensors are trained with a large number of images to give an answer to a specific question. On the basis of this training, the sensor can independently assign new unknown images to a result. “We are currently working with deep learning on a pilot project in the lumber industry. The basis of our solution is a camera with deep learning functionality,” says Grant Joyce, Sales and Marketing Manager, SICK Automation Southern Africa.

 To ensure optimum use of the raw lumber material, sawmills must know about the conditions in the logs, such as knowing where the age rings and the core are in order to ensure good processing of the lumber. “To find out how the lumber can best be used, we taught the camera to identify these using deep learning, a task that could previously be performed only by humans,” says Joyce. 

 This technology makes it possible to realise new, previously inconceivable applications that make processes more efficient and more productive. In the pilot project, SICK was able to increase the material use, improve the quality of the products and avoid wasting resources. Additionally the sustainable use is possible not only with materials, but employees too. They no longer have to perform monotonous activities, freeing them up for more complex tasks.

 “These developments in sensor technology provide the flexibility for production locations to be adapted for individual tasks,” Joyce concludes.

CubicICE (PTY) Ltd

CubicICE is an integrated marketing and communications agency specialising in B2B and industrial marketing. We are a trusted marketing partner to some of Africa’s largest brands, and, with more than 30 years’ experience, have helped over 200 clients grow their business through strategic marketing intelligence and communications skill. As a full service integrated marketer, CubicICE combines traditional and digital marketing and creative design under one roof, and specialises in both quality lead generation and brand building. We offer all necessary in-house consulting; business planning, research and strategy; copywriting; graphic and digital design; campaign performance measuring and analysis; media planning; and administrative skills – all from our Sandton-based office in Johannesburg. A Google Partner, SEO-certified Company and IAB Member, CubicICE is a leader in search engine marketing, with a results-driven digital approach geared towards providing our clients with a clear online business advantage. Visit us at www.cubicice.co.za

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