On June 26, 1974, a checkout employee at a Marsh supermarket in Troy, Ohio became the first person to scan a grocery item—a pack of Wrigley’s Juicy Fruit chewing gum—using a Universal Product Code (UPC). Better known as a barcode, UPCs soon became ubiquitous, used everywhere from grocery and retail stores to hospitals and Mars rovers.
The innovation arose as a way to solve the manual, time-consuming processes that plagued grocery stores, but it transcended its original purpose, changing not only the way people shop but also how they share information.
Paul V. McEnroe, who led the team that created the barcode, expected the invention to take off but says he couldn’t have imagined its long-lasting impact. “We didn't have a real feel that it would be as big as it was for as long as it was,” he says.
The Bulls-Eye Barcode: Conceived at a Beach
While the UPC code launched in 1974, it was not the first attempt to create a system that could identify and classify products and get shoppers through checkout lines more efficiently. Back in 1949, Norman Joseph Woodland and Bernard Silver filed a patent application for a “classifying apparatus and method.” Known as the bull’s-eye code, their invention featured concentric circles.
One day, while running his fingers through sand at the beach, Woodland realized that lines of varying width could represent data in the same way that dashes and dots do from Morse code. While it was a great concept, it required a 500-watt light and a special tube to convert light into code.
“It’s an interesting example of a technology invented before its time,” says Jordan Frith, Pearce Professor of Professional Communication at Clemson University and author of Barcode. “The problem was it [needed two] things. It needed computers to be cheaper. But most importantly, there was no easy way to read it.”
Meanwhile, others tried to make similar systems work. For example, the KarTrak system launched in 1967 to help identify and track freight on trains. This system, Frith explains, featured colored barcodes that could be scanned to identify trains and their cargo as they were moving.
“They went by fixed-laser scanners. They would detect the cars in real time,” Frith says. KarTrak ultimately failed, however, due to a range of factors, including a lack of integration with computer systems, and the fact that snow or mud could obscure the code and lead to faulty readings.