Accurate Mini PCB Pick-and-Place
Budget: ₹37,500 – ₹75,000 INR
I’m building a compact, desktop-size pick-and-place machine that can assemble PCBs up to 250 mm × 250 mm. The brief is to achieve repeatable, sub-0.1 mm component placement accuracy on a wide mix of SMD packages—from 0603 passives to SOT-23, SOIC, QFN and TQFP—while keeping the mechanics low-maintenance and the control stack fully open-source through OpenPnP.
Accuracy in component placement outweighs raw speed, so every design choice should favour rigidity, backlash elimination and precise vision alignment. Mixed-technology boards are common in my workflow, meaning the feeder layout, nozzle options and camera calibration routines all need flexibility rather than being optimised for a single part family.
Core expectations
• Complete mechanical and motion-control design in CAD, sized to fit a 250 × 250 mm work envelope
• Recommended drive system, motors, rails and control electronics that balance cost with long-term accuracy
• OpenPnP configuration files, vision pipeline setup and nozzle library tuned for 0603-to-TQFP work
• Assembly drawings and a BOM that can be sourced with globally available components
• Maintenance guidelines outlining lubrication intervals, belt or lead-screw tensioning and easy swap of consumables
Acceptance will be based on a simulated pick-and-place job using your OpenPnP profile: the head must consistently place 50 test components within ±0.05 mm of target and finish a repeat run without skipped steps or vision failures.
If you have previous desktop PnP or CNC motion design experience and can demonstrate tight placement accuracy, let’s talk.
Accuracy in component placement outweighs raw speed, so every design choice should favour rigidity, backlash elimination and precise vision alignment. Mixed-technology boards are common in my workflow, meaning the feeder layout, nozzle options and camera calibration routines all need flexibility rather than being optimised for a single part family.
Core expectations
• Complete mechanical and motion-control design in CAD, sized to fit a 250 × 250 mm work envelope
• Recommended drive system, motors, rails and control electronics that balance cost with long-term accuracy
• OpenPnP configuration files, vision pipeline setup and nozzle library tuned for 0603-to-TQFP work
• Assembly drawings and a BOM that can be sourced with globally available components
• Maintenance guidelines outlining lubrication intervals, belt or lead-screw tensioning and easy swap of consumables
Acceptance will be based on a simulated pick-and-place job using your OpenPnP profile: the head must consistently place 50 test components within ±0.05 mm of target and finish a repeat run without skipped steps or vision failures.
If you have previous desktop PnP or CNC motion design experience and can demonstrate tight placement accuracy, let’s talk.
Related categories:
Mechanical Engineering
Mechatronics
3D Printing
Embedded Systems
Control Engineering
CNC