Sub-Category · Science & Innovation Competition
Learn the logic of Image Processing using ready-made modules and smart cameras. Object recognition, sign reading or gesture control — choose one of three concepts and compete.
The purpose of this category is for students to grasp the logic of "Image Processing" using ready-made modules and cameras instead of complex code. The use of smart cameras like HuskyLens, PixyCam or software like mBlock, Teachable Machine, Python (MediaPipe/OpenCV) is completely free.
Teams can compete by choosing one of the following 3 tasks (concepts). Each concept has a different difficulty level, field dimensions and scoring system.
Each team competes by choosing one of the three concepts below. Concepts are ranked from easy to hard.
The easiest level. The robot is stationary or moves very little, it only recognizes the object and decides.
The referee places randomly colored cubes (or cards with shapes like Apple, Banana) in front of the robot's camera.
The robot uses its camera and AI model to decide whether the object belongs to the Red or Blue zone, then autonomously pushes the object to the correct zone.
An updated version of the classic line-following robot with "Autonomous Vehicle" technology. The robot scans roadside signs while following the black line.
The robot advances normally following the black line. Meanwhile its camera continuously scans traffic signs on the roadside.
The robot must stop its motors for exactly 3 seconds when it sees a red STOP sign. At intersections, it must read the direction arrow sign and autonomously turn in that direction.
The most interactive concept that puts on a show for the audience, without any external controller. The competitor directs the robot using arms and hands.
The competitor (Operator) stands in front of the computer camera set up outside the field. No phone or controller may be in their hands.
The camera maps the person's hand/body skeleton (Pose/Hand Tracking). Raising the right hand gives a turn right command, opening the palm brakes the robot.
Apply now to showcase your image processing skills on the international platform.