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		<title>Iot on Dataprd.Com</title>
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				<title>A 7.5-inch E-ink Weather &amp; Calendar Dashboard Powered by ESP32</title>
				<link>https://dataprd.com/posts/eink-weather-dashboard/</link>
				<pubDate>Wed, 03 Jun 2026 12:00:00 +0000</pubDate>
				<guid>https://dataprd.com/posts/eink-weather-dashboard/</guid>
				<description>&lt;p&gt;A dedicated weather and calendar display for the wall: a Waveshare 7.5&amp;quot; three-colour e-ink panel driven by an ESP32. It holds its image with no power, has no backlight, and reads the same PHP proxies as the &lt;a href=&#34;https://dataprd.com/posts/personal-dashboard-glance/&#34;&gt;Glance dashboard&lt;/a&gt;. It refreshes every two hours.&lt;/p&gt;&#xA;&lt;p&gt;&lt;span class=&#34;entry-figure&#34;&gt;&lt;img src=&#34;https://dataprd.com/images/posts/eink-dashboard-render.png&#34; alt=&#34;The rendered dashboard: weather and air quality on the left, upcoming events on the right&#34; width=&#34;800&#34; height=&#34;480&#34; loading=&#34;lazy&#34; decoding=&#34;async&#34;&gt;&lt;span class=&#34;entry-caption&#34;&gt;Renderer output before it is packed into a bitmap. The real panel shows Hungarian; labels here are translated and the calendar entries are placeholders.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;</description>
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				<title>Air quality monitoring IoT – Arduino &amp; sensors connected to a Raspberry Pi</title>
				<link>https://dataprd.com/posts/arduino-raspberry-air-quality-iot/</link>
				<pubDate>Sat, 26 Aug 2017 16:42:00 +0000</pubDate>
				<guid>https://dataprd.com/posts/arduino-raspberry-air-quality-iot/</guid>
				<description>&lt;p&gt;I was very interested in monitoring the surrounding air&amp;rsquo;s quality, so I built a box that monitors Particulate Matter (PM), gas concentrations, temperature and humidity. The historical data is persisted and accessible via the network – translating to a typical IoT use case. The box built is based on Arduino with its sensors and a RaspberryPi. Arduino is a great platform for electronics prototyping with a convenient development IDE – it allows to connect sensors to the board and share the data via multiple interfaces (such as serial port, attached SD card, network, etc.). The networking and data persistence are solved via a Raspberry Pi Zero W, providing SD-card based data plotting, having a host and guest Wifi network for data access and data sharing with cloud providers.&lt;/p&gt;</description>
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