Design and Simulation of a Vision-Based Automatic Trout Fish-Processing Robot

Today, industrial automation is being applied in a wide range of fields. The initial modeling robots and mechanical systems together with simulation results optimal systems. In this study, the designed system simulated to obtain required velocities, accelerations torques actuating arms vision-based automatic system. Due slippery skin fish low friction coefficient, it not easy design an tool handle fish. Since fish-processing operation undertaken step by provides stability, essential that gripper enables different processing operations along proposed performs belly-cutting, beheading, gutting, cleaning stages for sizes, based on extracted dimensions vision head-cutting section, average speed actuator jack was considered as 500 mm s−1. Under these conditions, maximum force provide 332.45 N. belly-cutting subsystem, torque stepper motor resulted 1.79–2.15 N m. Finally, gutting calculated 0.69 m tested capacities.