Labelling Solutions
New colour RFID label printer now available in EMEA
D
TM Print, international OEM and solution provider for specialty printing systems
announced that the new RX500e Color RFID Label & Tag Printer from US manufacturer Primera Technology, Inc. is now available for customers in Europe, Middle East and Africa. RX500e is the newest full-colour,
on-demand RFID built-in label and tag printer. Labels are printed, encoded and verified in a single pass. Finished labels are then cut with the internal guillotine-style cutter and dispensed one at a time. On- demand printing makes the printer ideal for applications such as visitor or trade show badges where just a single label at a time with unique information is required. Batches of many labels or tags at a time can also be encoded and printed. The built-in UHF RFID reader/encoder module is supplied by Honeywell. It is compliant with EPC Global Gen 2 Class 1 and ISO 18000 –6B and –6C specifications for the widest range of deployments in real-world applications. Print resolution is best-in-class at up to 4800dpi. Print speeds of up to 63.5 mm
colour, you are essentially adding an extra layer of accuracy and safety in applications such as medical file folder labels, visitor badges, photo wristbands and specimen tracking labels.” All customers get the design software
(2.5 inch) per second make label and tag production fast and convenient. “Printing full-colour RFID labels and tags adds a new, value-added feature to the technology,” explains Andreas Hoffmann, managing director of DTM Print. “With RX500e, you can add colour coding, graphics and high-resolution photos to RFID labels and tags. With
BarTender UltraLite and NiceLabel Free (both for Windows) free of charge, which can be downloaded from the DTM Print website (
dtm-print.eu/downloads). Both are ideal for designing the labels, however with RX500e the RFID encoding capability is important, which is available in upgraded versions of the software. The RX500e Color RFID Printer sells for €2,695 (MSRP) and is available through authorised DTM Print resellers and distributors in Europe, Middle East and Africa. For all units within the EU (including EFTA countries) DTM Print offers up to 24 months warranty: 12 months provided with the purchase and the option of extra 12 months for free after registering the product on the company website (
register.dtm-print.eu) within the first 6 months of purchase.
dtm-print.eu
Fujitsu develops automatic labelling technology F
ujitsu Laboratories and Kumamoto University has announced the development of
technology to easily create the training data necessary to apply AI to time- series data, such as those from accelerometers and gyroscopic sensors. Time-series data obtained from sensors does not include anything other than every-changing numerical data. Therefore, in order to create training data for use in machine learning, it was necessary to manually attach finely detailed labels to the data in accordance to its changing values, indicating what was done and when at each point where the numerical values changed. For this reason, huge numbers of man-hours were required, and the use of AI with time-series data had seen limited progress. Now, Fujitsu Laboratories and Kumamoto University have enabled the automatic creation of highly accurate training data with appropriate labels for each action, just by manually attaching a single label to each longer time period, even if they include multiple actions, indicating the major action in that time period according to human judgement.
convertermag.com
Because this significantly reduces the number of man-hours required, this technology will accelerate the use of AI with time-series data. The new development is expected to enable easier installation of services such as fall detection, operational functionality checks, and abnormality detection for machines, in smartphones and various other devices. In recent years, with the evolution of
technology such as the Internet of Things (IoT), it has become possible to obtain a large amount time-series data from a
fujitsu.com
variety of sensors. For example, by developing a functionality in which AI can determine the meaning of the motions of people and objects from the characteristics captured by accelerometers, it is expected that advanced functionality for monitoring people and machines can be incorporated into smartphones and various equipment. In order to apply AI to this sort of time- series data, it is necessary to create training data to train AI.
July/ August 2019
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