HRT System Pickit 3D Vision

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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

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.

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Features

Improved Work Productivity
- Enhances operational efficiency and accuracy.
- Enables the establishment of flexible production lines.
Optimized Motion Performance
- Performs optimal pick-and-place based on detected information.
- Executes optimal picking even if the position of parts shifts during transport.

Results

Key Benefits	Fast and accurate object recognition with 3D positioning and volume measurement. Easy and rapid picking from semi-aligned bins or pallets.
Client Feedback	"Previously, when items tipped over while being transported on the conveyor, a person had to manually re-align them. Now, since the robot can recognize and pick them up on its own, our labor costs have decreased."

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Industry > ElectronicsApplication > InspectionSector > Manufacturing

Project Overview

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

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.

Features

Improved Work Productivity
- Enhances operational efficiency and accuracy.
- Enables the establishment of flexible production lines.
Optimized Motion Performance
- Performs optimal pick-and-place based on detected information.
- Executes optimal picking even if the position of parts shifts during transport.

Results

ROI Period	1 year
Key Benefits	Fast and accurate object recognition with 3D positioning and volume measurement. Easy and rapid picking from semi-aligned bins or pallets.
Client Feedback	"Previously, when items tipped over while being transported on the conveyor, a person had to manually re-align them. Now, since the robot can recognize and pick them up on its own, our labor costs have decreased."

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HRT System Pickit 3D Vision

Solution Provider: Please log in to view

Application Field: Industry > Electronics, Application > Inspection, Sector > Manufacturing

Industry > ElectronicsApplication > InspectionSector > Manufacturing

Related Use Cases