Ajile QC Bot
Posted on Friday, July 5th, 2024
Client | Ajile Light Industries |
Professor(s) | Raymond Greiss Andrew Dalton |
Program | Bachelor of Engineering (Automation and Robotics) |
Students | Michele Lorusso, Josh Balisch, Jack Dewan, Neel Mukherji, Marc Sabourin, Caitlin Jahn, Danielle Galarneau, Michel Akpro |
Project Description:
The Ajile QC Bot is an inspection system designed to autonomously capture comprehensive 3D point cloud images of a part, ensuring a full view from all angles. This system features a camera mounted on a gantry that moves along multiple axes, along with a turntable on the horizontal axis that spins the part for 360-degree coverage. Additionally, a tilt motor adjusts the camera’s angle, providing flexibility to capture intricate details. The camera continuously provides real-time feedback to the system, which intelligently adjusts the gantry’s position, the turntable’s rotation, and the camera’s tilt. By doing so, it systematically scans the part, capturing high-resolution 3D point cloud data. This process enables precise and complete inspection, detecting any defects or deviations in the part with high accuracy. The autonomous operation enhances efficiency, reduces human error, and ensures consistent and thorough quality control in manufacturing processes.