An enterprise AR training tool that superimposes exploded mechanical assemblies onto physical engine blocks using model target recognition.
Using advanced computer vision model targets, students point a tablet or AR glasses at a disassembled four-stroke engine to see internal piston tolerances, lubrication flowpaths, and torque specification callouts floating precisely in real space.
Mechanical engineering laboratories face wear-and-tear on training engines and cannot show internal fluid mechanics or combustion phases during physical disassembly.
Markerless AR superimposition with interactive step-by-step assembly guides, tolerance gauge checks, and animated thermodynamic cycle overlays.
Dr. G. Ravikumar, Dept of Mechanical Engineering
Tested across 3 undergraduate mechanical engineering batches; reduced laboratory equipment setup time by 40% and improved practical exam scores.
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