Use case
Radiantze vision-guided cells place and fasten parts with pose detection that holds across lighting drift and supplier variation.
Radiantze equips assembly lines with vision-guided robots so pose and fit variation from suppliers no longer force constant fixture redesign or manual rework.
Radiantze designs camera placement, calibration routines, and grasp strategies against your real part families, then integrates motion programs with MES work orders and quality holds.
Partnership
Radiantze delivers IoT & Robotics use cases with clear ownership from architecture through production operations.
Outcome
First-pass yield rises and changeovers shrink because the cell adapts to part variation within the windows quality already approves.
Radiantze designs camera placement, calibration routines, and grasp strategies against your real part families, then integrates motion programs with MES work orders and quality holds.
Industrial cameras capture part pose at the station. Radiantze validates detections against accepted tolerances before the robot commits to a path. Failures route to a human station with images attached so quality can act without stopping the entire cell.
First-pass yield rises and changeovers shrink because the cell adapts to part variation within the windows quality already approves.
