SICK Articles

2018 CEO Insights: David Duncan

30 January, 2018 | SICK Pty Ltd

David Duncan, Managing Director of SICK in Australia and New Zealand, discusses the challlenges presented by the drive to Industry 4.0, and the ways in which sensor vendors must respond to them.

Applications for cameras in retail distribution centres

19 October, 2017 | SICK Pty Ltd

When deployed strategically within a facility, image-based data capture technology offers benefits beyond its ability to read 1D and 2D codes.

Functional safety for machine controls

07 August, 2017 | SICK Pty Ltd

When implementing technical protective measures, each risk reduction measure will be associated with a safety function or combination of safety functions.

Serialisation to protect against tampering of pharmaceutical products

03 May, 2017 | SICK Pty Ltd

EU directives on the serialisation of pharmaceutical products come into effect over the next three years and will affect the way manufacturers label and package their products.

Industry 4.0 in the mining sector

13 March, 2017 | SICK Pty Ltd

Sean Carter of SICK discusses the benefits of Industry 4.0 technologies for the mining sector.

Logistics in the era of Industry 4.0

10 August, 2016 | SICK Pty Ltd

Digitalisation, networking, cloud computing, data security — the fourth industrial revolution is underway even with respect to logistics. Making logistics-related object properties available to all members of the supply chain makes possible a whole host of greater efficiencies. The prerequisite for this is a secure data space that is regulated and standardised across the board.

Sensors in hygienic conditions

04 August, 2016 | SICK Pty Ltd

Sensors used in food processing must be designed to be able to withstand harsh clean-in-place procedures.

Intelligent sensors the key to Industry 4.0

14 June, 2016 | SICK Pty Ltd

While Australia is challenged by a declining manufacturing sector, the utilisation of the industrial internet has the potential to introduce a major competitive advantage.

RFID streamlines automated tomato harvesting

02 February, 2016 | SICK Pty Ltd

RFID technology allows tomato processor Kagome to ensure product traceability, leading to increased efficiency in the production process.

Monitoring biomass combustion

30 October, 2015 | SICK Pty Ltd

The world's most common form of renewable energy production is not solar energy or wind power, but energy generated by burning biomass or biogas. Like coal-fired power generation, the efficiency of the process needs to be monitored, as well as the range of toxic materials that can be released when burning organic materials and other waste.

Emission monitoring benefits for power plants

09 February, 2015 | SICK Pty Ltd

Monitoring and measuring the emissions of all process plants can give an indication of the levels of pollution being exhausted into the atmosphere and, as importantly, the degree of efficiency of the plant. In many cases, if the plant efficiency is improved, the emission of pollution is significantly reduced; win-win for everyone.

BMW implements automatic crack detection for pressed parts

14 October, 2014 | SICK Pty Ltd

Every error detected too late costs money. At BMW in Munich, defective wheel housings were previously only recognised at the out feed of the press line. With the help of SICK, BMW now checks every component for cracks after the first drawing process in the lead press.

Track and trace to avoid quality control disasters

28 January, 2014 | SICK Pty Ltd

The ability to automatically recognise defects up and down the supply chain has become an integral part of quality control in the food industry business and is a legal requirement in many processes. Remarkably, the vast majority of food processing facilities around Australia still rely on human beings to do the track and trace inspections.

Dispelling the myths about machine vision systems

30 September, 2011 | SICK Pty Ltd

Machine vision is a branch of engineering that uses cameras in the context of process control. Images are collected and analysed and the data extracted used for controlling an automated process or action.

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