redpepper
This AI-Powered Robot Can Find Waldo Instantly
Creative agency Redpepper made a AI-powered robot that can pinpoint Waldo in 4.45 seconds ("better than most five year olds," according to Redpepper). The robot is complete with a rubber hand that points to Waldo on the page. The agency used Google's AutoML Vision service to train AI on photos of Waldo. The drag-and-drop tool allows users to train AI tools without previous coding knowledge, and has been used to categorize anything from ramen based on the shops they came from to the types of attire carried in an online retailer. Matt Reed, a Creative Technologist at Redpepper who led the project, got 62 Waldo heads and 45 full-body Waldos from Google image search, then fed the data Google's AutoML Vision.
This Robot Uses Computer Vision to Find Waldo In 4.5 Seconds
Now even Waldo is subject to surveillance from artificially intelligent robots. "There's Waldo," a robotic arm built by creative agency Redpepper, serves one purpose: To find and point at that elusive cartoon-man of mystery. Using a Raspberry Pi-controlled arm outfitted with a Vision Camera Kit designed for facial recognition, the Waldo-hunting bot searches for matches of our boy and then sends what it finds back to Google's AutoML Vision service, which they've trained for Waldo-specific purposes. According to Redpepper, it finds Waldo within 4.45 seconds. Matt Reed, creative technologist at Redpepper, told the Verge that he collected the Waldo images to train the AI from a Google image search, and ended up using 62 Waldo heads and 45 Waldos with his head on his body.
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.
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