Vision-Guided Picking and Flexible Feeding Workstation
A vision-guided picking workstation that locates randomly oriented parts and feeds them to the next process, removing manual tray loading from the line.
Solution Overview
For mixed-material multi-SKU scenarios, combining "random object recognition + automatic end-effector switching + robot picking" into a single station
The industrial AI flexible picking workstation is a flexible picking platform for multi-SKU mixed material scenarios, consisting of 3D vision recognition, AI intelligent picking algorithms, automatic tool changing (ATC) for multiple end effectors and six-axis robot coordinated control. The system can recognize randomly arranged mixed materials, automatically pick products of multiple specifications, perform flexible intelligent loading, automatically switch between multiple processes and handle parts with high-precision positioning; it supports fast changeover of 50+ SKUs and can connect to MES and ERP through industrial digital interfaces, outputting OEE statistics and alarm traceability.
This system is designed for Multiple SKUs, non-regular parts and flexible production scenarios. Unlike a conventional single-variety feeding mechanism, it hands "what to look at, where to pick, which end effector to use, and how to place it" to the same system, so a changeover does not require replacing the entire mechanical structure.
The core consists of four parts: 3D vision recognition (3D point cloud + deep learning algorithm), AI Intelligent Picking Algorithm (SKU recognition, pose analysis, stack recognition, picking scoring, dynamic path planning), Automatic switching of multiple end effectors (S / M / L end effectors, switched automatically by ATC), Six-axis robot coordinated control The four work together to improve pick success rate and production stability.
Solution configuration
End effector, vision, compatibility range and data interface — four directions that together determine the degree of flexibility
Multi-End-Effector Automatic Switching (ATC)
- S-Type Precision Suction End Effector
- M-Type Universal Flexible End Effector
- L-Type end effector for stable large-area suction
- Handles picking of products in different sizes, weights and materials
AI Visual Recognition System
- 3D point cloud + deep learning algorithm
- SKU recognition and pose analysis
- Stack recognition and picking scoring
- Dynamic Path Planning
Flexible Multi-SKU Compatibility
- Compatible with metal and flexible parts
- Compatible with irregular parts, precision parts, and odd-form parts
- Supports quick changeover of 50+ SKUs
- Non-standard, flexible production scenarios
Industrial Digital Interfaces
- MES System Integration
- ERP communication
- OEE Data Statistics
- Alarm traceability and process database management
process Workflow
From the material entering the field of view to picking and placing, vision and algorithms take over step by step
- 01 Material enters the picking field of view
- 02 3D Vision Point Cloud Acquisition
- 03 SKU recognition and pose analysis
- 04 Stack recognition and picking scoring
- 05 Dynamic Path Planning
- 06 ATC Automatic End Effector Changeover
- 07 Six-axis robot picking
- 08 High-accuracy positioning and placement
- 09 Data feedback and traceability
Critical Stages
End-effector switching and AI recognition are the two key points that distinguish this system from an ordinary pick-and-place mechanism
Multi-End-Effector Automatic Switching (ATC)
Products of different sizes, weights and materials have different requirements for the end effector form. The system supports automatic switching between the S-Type precision vacuum end effector, the M-Type general-purpose flexible end effector and the L-Type large-area stable vacuum end effector, with the ATC mechanism performing the changeover, so that the same workstation can cover a wider product range.
- S-Type Precision Suction End Effector: For Precision Parts and Small Products
- M-Type general-purpose flexible end effector: for general-purpose parts with large shape differences
- L-Type large-area stable suction end effector: for large-format sheets and thin parts
- Automatic end-effector changeover reduces manual changeover work during model changes
AI Vision Recognition and Picking Decision
The system performs recognition and decision-making based on 3D point clouds and deep learning algorithms: SKU recognition first confirms the incoming material model, then pose analysis and stack recognition determine the graspable positions, a grasp score then selects the optimal pick target, and finally dynamic path planning is generated.
- 3D point cloud + deep learning algorithm
- SKU recognition: confirm the incoming material model
- Pose analysis: determining workpiece orientation
- Stack recognition: find pickable targets in a random stack
- Picking Score + Dynamic Path Planning to Improve Picking Success Rate
Applicable Products and Industries
Eight typical product categories by material and shape, for direct comparison with your own workpieces
| Product Category | Applicable Products | Applicable Industries | System Features |
|---|---|---|---|
| Brushed stainless steel sheet | Stainless steel decorative panels / elevator panels / kitchen appliance housings / metal door panels / cabinet sheet metal parts | Kitchen appliance industry · elevator industry · sheet metal fabrication · smart home · commercial equipment | Anti-scratch suction · Stable handling of large parts · Gripping with brushed-surface protection |
| Aluminum profiles / aluminum sheets | New energy battery trays / automotive structural parts / industrial aluminum profiles / heat sink plates / CNC aluminum parts | New energy vehicles · photovoltaic industry · industrial automation · 3C electronics · communication equipment | Lightweight High-Speed Picking · Deformation Control · Multi-Spec Compatibility |
| Copper busbars / copper sheets / conductive parts | New energy copper busbars / power conductors / busbars / energy storage conductive parts / electrical control copper parts | New Energy · Energy Storage Industry · Power Equipment · Charging Piles · High- and Low-Voltage Electrical | High-Precision Positioning · Anti-Oxidation Surface Protection · Flexible Path Planning |
| Precision Castings | Precision Housings / Valve Bodies / Connectors / Hardware Structural Parts / Pre-Machined CNC Parts | Automotive parts · construction machinery · aerospace manufacturing · precision machining · industrial equipment | AI pose recognition · irregular part picking · separation of randomly stacked parts |
| Stamped Parts | Automotive stamped parts / hardware gaskets / connecting strips / electrical stamped parts / precision metal sheets | Automotive manufacturing · hardware machining · home appliance industry · electrical industry · precision manufacturing | Thin-Sheet Anti-Sticking Detection · High-Speed Cycle Picking · Automatic Tray Loading |
| automotive parts | Gears / Brackets / Flanges / Steering Structural Parts / Electric Drive System Parts | Automotive Manufacturing · New Energy Vehicles · Tier1 Supply Chain · Smart Manufacturing Plants | Mixed-Model Production Compatibility · Automatic Multi-SKU Changeover · Automatic Path Optimization |
| Friction Plates / Brake Components | Brake Pads / Friction Gaskets / Sealing Friction Parts / Carbon-Based Material Parts | Automotive Industry · Rail Transit · Construction Machinery · Braking System Industry | Flexible suction · anti-drop control · highly stable conveying |
| Laser-Cut Parts | Laser-cut sheet metal parts / irregular cut parts / precision structural plates / fabricated metal parts | Sheet Metal Manufacturing · Laser Processing · Automation Equipment · Intelligent Equipment | AI Boundary Recognition · Interference-Free Path Planning · Precise Picking of Irregular Parts |
delivery and After-Sales
Starting from the material and production line conditions, vision, end effector and robot are integrated into a working station
- 01 Requirement confirmation and material analysis
- 02 Picking feasibility assessment
- 03 Solution design and simulation
- 04 End effector and vision selection
- 05 Equipment manufacturing and integration
- 06 On-site installation and commissioning
- 07 Trial production and parameter optimization
- 08 Acceptance, delivery and training
- 09 After-sales and process support
Common Question
Common Questions About Industrial AI Flexible Picking Workstations
What problem does this system solve?
for Multiple SKUs, non-regular parts and flexible production scenario, solving the loading problem for randomly mixed materials. The system is based on 3D vision recognition, AI intelligent picking algorithms, automatic switching of multiple end effectors (ATC), and coordinated control of a six-axis robot, achieving recognition of randomly mixed materials, automatic picking of multiple product specifications, flexible intelligent loading, automatic switching between multiple processes, and high-precision positioning and handling.
Why Is Automatic End-Effector Switching Needed?
because products of different sizes, weights and materials place different demands on the end effector. The system supports S-Type Precision Suction End Effector, M-Type Universal Flexible End Effector, L-Type end effector for stable large-area suction switch automatically, so the same workstation can cover a wider product range and manual changeover during product switching is reduced.
What exactly does AI vision do?
Based on 3D point clouds and deep learning algorithms, it performs SKU recognition, pose analysis, stack recognition, picking scoring, dynamic path planning, to improve picking success rate and production stability.
How many product types can it handle?
The solution is described as supporting 50+ SKU quick changeover, with compatibility for metal parts, flexible parts, irregular parts, precision parts, and shaped parts. The actual range of compatibility must be assessed and confirmed according to the specific material and picking requirements.
Can it integrate with the factory's existing systems?
Industrial digital interfaces are provided, supporting MES integration, ERP communication, OEE data statistics, alarm traceability and process database management. The specific integration scope and protocols must be confirmed according to the on-site system.
What typical products is it applicable to?
The solution lists eight categories by material and form: brushed stainless steel sheet, aluminum alloy profiles / aluminum plate, copper busbars / copper plate / conductive parts, precision castings, stampings, automotive parts, friction plates / brake parts and laser-cut parts. Each category lists applicable products, applicable industries and system features, so you can compare them directly against your own workpieces.
Related Solutions
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