Internet of Things (IoT) is a booming industry. We investigated several (semi-) professional IoT devices in combination with displays (focus on reflective technologies) and LEDs. First, these displays were compared for reflectance and ambient light performance. Two measurement set-ups with diffuse conditions were used for simulating typical indoor lighting conditions of IoT displays. E-paper displays were evaluated best as they combine a relative high reflectance with large contrast ratio. Reflective monochrome LCDs show a lower reflectance but are widely available. Second we studied IoT microprocessors interfaces to displays. A µP can drive single LEDs and one or two Seg 8 LED digits directly by GPIOs. Other display technologies require display controllers with a parallel or serial interface to the microprocessor as they need dedicated waveforms for driving the pixels. Most suitable are display modules with built-in display RAM as only pixel data have to be transferred which changes. A HDMI output (e.g. Raspberry Pi) results in high cost for the displays, therefore AMLCDs are not suitable for low to medium cost IoT systems. We compared and evaluated furthermore status indicators, icons, text and graphics IoT display systems regarding human machine interface (HMI) characteristics and effectiveness as well as power consumption. We found out that low resolution graphics bistable e-paper displays are the most appropriate display technology for IoT systems as they show as well information after a power failure or power switch off during maintenance or e.g. QR codes for installation. LED indicators are the most cost effective approach which has however very limited HMI capabilities.
Julia Sabo, Tobias Fegert, Matthäus Stephanus Cisowski, Anatolij Marsal, Domenik Eichberger, and Karlheinz Blankenbach, "Evaluation of display technologies for Internet of Things (IoT)," Proc. SPIE 10126, Advances in Display Technologies VII, 1012606 (Presented at SPIE OPTO: February 02, 2017; Published: 16 February 2017); https://doi.org/10.1117/12.2252257.
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