The IBM PC That Broke IBM

It was the dawn of the personal computer age, a time when Apple IIs, Tandy TRS-80s, Commodore PETs, the Atari 400 and 800, and others had made significant inroads into schools and people’s homes. But IBM, whose name was synonymous with computers, was nowhere to be seen. And yet within a few years, the IBM PC would be the dominant player.

Those of us who were around at the time cherished one of those early non-IBM computers, and as the IBM PC came out, either respected it, looked down on it, or did both. But now, unless your desktop machine is a Mac, you probably own a computer that owes its basic design to the first IBM PC.

The Slow Moving Elephant

IBM System/360 Model 30 mainframe
IBM System/360 Model 30 mainframe by Dave Ross CC BY 2.0

In the 1960s and 1970s, the room-filling mainframe was the leading computing platform and the IBM System/360 held a strong position in that field. But sales in 1979 in the personal computer market were $150 million and were projected to increase 40% in 1980. That was enough for IBM to take notice. And they’d have to come up with something fast.

Fast, however, wasn’t something people felt IBM could do. Decisions were made through committees, resulting in such a slow decision process that one employee observed, “that it would take at least nine months to ship an empty box.” And one analyst famously said, “IBM bringing out a personal computer would be like teaching an elephant to tap dance.”

And yet, in just a few short years, IBM PCs dominated the personal computer market and the majority of today’s desktops can trace their design back to the first IBM PC. With even more built-in barriers which we cover below, how did the slow-moving elephant make this happen?

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A Bluetooth Speaker For Babies

[Mike Clifford] of [Modustrial Maker] had not one, not two, but five friends call him to announce that their first children were on the way, and he was inspired to build them a Bluetooth speaker with a unique LED matrix display as a fitting gift. Meant to not only entertain guests, but to audio-visually stimulate each of their children to promote neurological development.

Picking up and planing down rough maple planks, [Clifford] built a mitered box to house the components before applying wood finish. The brain inside the box is an Arduino Mega — or a suitable clone — controlling a Dayton Bluetooth audio and 2x15W amp board. In addition to the 19.7V power supply, there’s a step down converter for the Mega, and a mic to make the LED matrix sound-reactive. The LED matrix is on a moveable baffle to adjust the distance between it and a semi-transparent acrylic light diffuser. This shifts the light between sharp points or a softer, blended look — perfect for the scrolling Matrix text and fireplace effects! Check it out!

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OpenCV Never Forgets A Face

All the cool phones now are doing facial recognition. While that sounds like a big job, you can add face detection and recognition easily to your projects if you can support the OpenCV library. [LinuxHint] has a great tutorial that steps you from the basics of OpenCV to actually acquiring and identifying faces. It is aimed at Ubuntu users, but the code would apply to any OpenCV-supported platform. You can also see a less detailed tutorial to learn more about installing OpenCV on the Pi Zero from [DanishMalhotra].

Of course, any facial recognition system is going to need a camera. The nice thing about the first tutorial is that it assumes you know nothing about OpenCV, so it covers the basics on up to using the face-related libraries.

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