This robot uses AI to find Waldo, thereby ruining Where’s Waldo

If you’re totally stumped on a page of Where’s Waldo and ready to file a missing persons report, you’re in luck. Now there’s a robot called There’s Waldo that’ll find him for you, complete with a silicone hand that points him out.

Built by creative agency Redpepper, There’s Waldo zeroes in and finds Waldo with a sniper-like accuracy. The metal robotic arm is a Raspberry Pi-controlled uArm Swift Pro which is equipped with a Vision Camera Kit that allows for facial recognition. The camera takes a photo of the page, which then uses OpenCV to find the possible Waldo faces in the photo. The faces are then sent to be analyzed by Google’s AutoML Vision service, which has been trained on photos of Waldo. If the robot determines a match with 95 percent confidence or higher, it’ll point to all the Waldos it can find on the page.

Google’s Cloud AutoML has been available since January to let users train their own AI tools without any previous coding knowledge. The drag-and-drop tool lets anyone create an image recognition tool, which has a variety of use cases such as categorizing photos of ramen by the shops they came from. You can catch a glimpse of this process in the video above, in which different photos of Waldos are fed into the software.


To me, this is like the equivalent of cheating on your math homework by looking for the answers at the back of your textbook. Or worse, like getting a hand-me-down copy of Where’s Waldo and when you open the book, you find that your older cousin has already circled the Waldos in red marker. It’s about the journey, not the destination — the process of methodically scanning pages with your eyes is entirely lost! But of course, no one is actually going to use this robot to take the fun out of Where’s Waldo, it’s just a demonstration of what AutoML can do.

Redpepper’s video description boasts: “While only a prototype, the fastest There’s Waldo has pointed out a match has been 4.45 seconds which is better than most 5 year olds.” If this is a competition, we really can’t win against the machines.

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