marosol

HRT System Pickit 3D Vision

Solution Provider
Please log in to view
Application Field
Industry > Electronics, Application > Inspection, Sector > Manufacturing
Industry > ElectronicsApplication > InspectionSector > Manufacturing

Project Overview

This solution utilizes the Pickit 3D Vision for bin picking and robot guidance. Without 3D vision, approximately 10% of parts fall over or shift during internal transport, making it impossible for the robot to pick them from their original positions. The Pickit 3D vision system enables the robot to detect, extract, and place parts even when they are oriented in specific directions.

Project Background & Objectives

  • Automated Picking: Enabling the robot to pick items without manual re-alignment by humans.

  • Consistent Dispensing: Maintaining uniform application tasks even if the position of heavy workpieces shifts.

  • Defect Minimization: Minimizing the defect rate through precise positioning.

Components

Robot

3D Vision Performance

Pickit L

  • 3D Measurement Method: Infrared Structured Light

  • 3D Image Acquisition Time: 300ms

  • Resolution (pixels): 640x480

  • Precision (mm): 1.0 - 3.0mm

  • Accuracy (%): 1.2%

  • Accuracy (mm): 4 - 18mm

  • Estimated Picking Accuracy: 1.5 - 2 x 3D Camera Accuracy

  • Weight: 1030g

  • Connection (Camera to PC): M12–8 (USB) – USB3

  • Connection (PC to Robot): TCP/IP via Ethernet

Pickit M-HD

  • 3D Measurement Method: Infrared Structured Light

  • 3D Image Acquisition Time: 200-1000ms

  • Resolution (pixels): 1920x1200

  • Precision (mm): 0.15 - 0.8mm

  • Accuracy (%): 0.75%

  • Accuracy (mm): 2 - 4mm

  • Estimated Picking Accuracy: 1.5 x 3D Camera Accuracy

  • Weight: 2kg

  • Connection (Camera to PC): M12–8 (USB) – USB3

  • Connection (PC to Robot): TCP/IP via Ethernet

Pickit L-HD

  • 3D Measurement Method: Infrared Structured Light

  • 3D Image Acquisition Time: 200-1000ms

  • Resolution (pixels): 1920x1200

  • Precision (mm): 0.3 - 1.6mm

  • Accuracy (%): 0.75%

  • Accuracy (mm): 3 - 7mm

  • Estimated Picking Accuracy: 1.5 x 3D Camera Accuracy

  • Weight: 2kg

  • Connection (Camera to PC): M12–8 (USB) – USB3

  • Connection (PC to Robot): TCP/IP via Ethernet

Workflow

STEP 1.Workpiece Recognition: Detect the workpiece using the camera.
STEP 2.Robot Picking: The robot picks up the object.
STEP 3.Transfer: Move the object to the target location.
STEP 4.Re-recognition: Re-detect the workpiece using the camera if necessary.

※ The content provided by Bigwave Robotics is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.

Recommended Use Cases

Electronic Component Insert Molding Automation using a Yushin Take-Out Robot

Electronic Component Insert Molding Automation using a Yushin Take-Out Robot

Process Overview This assembly automation solution uses a YUSHIN take-out robot (SCⅡ-150) to automate the process of insert-molding a steel plate into a plastic injection-molded part during production. By automating both the insert-loading operation and the downstream inspection process, the system minimizes control points while improving overall productivity.

Gear Tooth Profile Inspection Using DENSO + QRS Vision

Gear Tooth Profile Inspection Using DENSO + QRS Vision

Process Overview This solution is an automated sorting system that combines QRS 2D/3D vision inspection with a DENSO VS robot to pick randomly placed gears, inspect gear tooth geometry, and separate OK parts from NG parts. With QRS's in-house vision technology, the system can be tuned and customized to match specific site conditions, enabling precise inspection across various gear shapes and models. This project was implemented to automate the inspection process after bin picking.

Automotive Component Assembly Automation using Epson C4 + FT Sensor

Automotive Component Assembly Automation using Epson C4 + FT Sensor

Process Overview This assembly automation solution uses an Epson C4 robot and an FT (Force-Torque) sensor to automate the task of inserting and fastening automotive parts with a tight press-fit tolerance. Even when the fit is extremely tight, the system can detect insertion force, locate the correct position, and perform smooth insertion without part damage or jamming. This project was implemented to automate the insertion of fixing pins used in automotive components.

ⓒ2020-2026 Bigwave Robotics Inc. All Rights Reserved.

Bigwave Robotics Inc.

Bigwave Robotics serves only as an e-commerce intermediary for certain products listed by third-party vendors on Marosol and is not the seller of record for those transactions. Bigwave Robotics shall not be held liable for any product information, transactions, or related issues concerning items registered by third-party sellers.

ⓒ2020-2026 Bigwave Robotics Inc. All Rights Reserved.