At 8:01 in the morning on June 26, 1974, a cashier at a Marsh Supermarket in Troy, Ohio slid a 10-pack of Wrigley's Juicy Fruit chewing gum across a new kind of scanner. A beep confirmed the price, and with that unremarkable purchase the barcode entered everyday life. That pack of gum, which cost 67 cents, was the first retail product ever scanned by a Universal Product Code. The pack and the receipt now sit in the Smithsonian Institution.
It is easy to overlook how radical that beep was. For the first time, a machine had read a physical object and turned it into data without anyone typing a single digit. That is the whole idea behind automatic identification, and it runs in a straight line from a gum wrapper in Ohio to the connected sensors and tracked assets at the heart of modern IoT.
From a bullseye in the sand to a striped label
The barcode did not begin as the familiar pattern of vertical black lines. Its origins trace back to a 1952 patent filed by Norman Joseph Woodland and Bernard Silver, two graduate students who wanted to help a grocery chain automate checkout. Woodland's insight came, by his own account, while sitting on a Florida beach: he drew Morse code dots and dashes in the sand, then dragged his fingers downward to stretch them into thin and thick lines. His first working design was actually a circular bullseye, so it could be read from any angle.
The bullseye was elegant but hard to print cleanly, and the technology to read it cheaply did not exist yet. It took two more decades, the invention of the laser and the low-cost integrated circuit, before the idea became practical. When a committee finally standardized the Universal Product Code in 1973, they chose the now-iconic rectangular stripe pattern designed by IBM engineer George Laurer. The gum was scanned less than a year later.
Why a barcode is really an IoT ancestor
Strip away the retail context and a barcode is a beautifully simple protocol: a way to encode a small amount of structured data onto a physical object so that a machine can read it reliably, at speed, without human error. That is exactly the problem every connected device solves at a larger scale.
The barcode was the first mass-deployed member of the auto-ID family. Its direct descendants are everywhere in embedded and connected systems. The QR code added two dimensions and far more data. RFID removed the need for line of sight, letting a reader energize a passive tag from a distance. Today those same principles power smart shelves that report their own stock, warehouse robots that navigate by scanning fiducial markers, and asset trackers that log every step of a supply chain to the cloud. In each case the goal is unchanged from 1974: let the physical world describe itself to the network.
What this means for building connected products
The lesson of the gum pack is that the hard part of IoT is rarely the cloud dashboard. It is the reliable, cheap, physical act of turning a real object or a real measurement into trustworthy data at the edge. A barcode had to survive smudged printing, bad lighting, and a bored cashier moving fast. A modern sensor node has to survive noisy power, intermittent connectivity, and years in the field on a coin cell. The discipline is the same.
At Fluidwire we build that edge layer, from the silicon up to the cloud: the PCBs, firmware, and connectivity that let a product identify itself, sense its environment, and report back reliably. If you are turning a physical product or a thesis prototype into a connected system, our IoT and embedded services cover the full path, and you can get in touch to talk through what you are building.
The next time you hear a checkout beep, remember it started with a pack of gum, a beach, and a very old idea that machines should be able to read the world for us.
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