Find, classify and handle products at production speed.
Combine machine vision with high-speed robot handling to locate randomly presented products, identify orientation or variant and place each item into the correct process or pack.
What the cell is designed to achieve.
Performance is confirmed against representative products, the complete process and agreed acceptance criteria.
Application outcome to validate during concept engineering.
Application outcome to validate during concept engineering.
Application outcome to validate during concept engineering.
Application outcome to validate during concept engineering.
How the application is defined before equipment selection.
The concept is developed from the full production sequence. This prevents the robot from being selected around one isolated pick while missing presentation, machine time, product variation or operator interaction.
- Define the decision the vision system must make
- Collect representative samples and defects
- Engineer lighting, optics and field of view
- Calibrate camera, conveyor and robot coordinates
- Design gripper and collision rules
- Validate rate, false rejects and uncertain-result handling
What to send for a useful feasibility review.
The quality of the first concept depends on the information available. Photographs and video are useful, but product and process data allow payload, reach, cycle and interfaces to be checked more reliably.
- Product range, colours, finishes and defects
- Conveyor speed, width and spacing
- Required pick rate and placement destinations
- Product overlap or occlusion conditions
- Inspection resolution and acceptance criteria
- Ambient light and cleaning environment
Robot types to evaluate for this task.
These platforms illustrate credible starting points. The final choice follows load, motion, rate, environment, tooling and safety validation.
Five-Axis Fast Parallel Robot
Reference model BRTIRPL1203A. Published data is used for initial comparison and must be validated against the complete application.
View reference platform →Four-Axis Parallel Sorting Robot
Reference model BRTIRPL1215A. Published data is used for initial comparison and must be validated against the complete application.
View reference platform →High-Precision SCARA Robot
Reference model BRTIRSC0603A. Published data is used for initial comparison and must be validated against the complete application.
View reference platform →Flexible Small Pick-Up Robot
Reference model BRTIRUS0805A. Published data is used for initial comparison and must be validated against the complete application.
View reference platform →Frequently asked questions
These answers provide an initial planning framework. Final requirements are confirmed against the product, process, site and applicable safety obligations.
Can a vision robot pick overlapping products?
Sometimes, particularly with 3D vision, but heavy occlusion can hide valid grip points. Product presentation may still need conditioning or recirculation.
Can the system inspect and sort at the same time?
Yes, if the image quality, resolution and cycle allow. Inspection results can assign each product to a destination or reject route.
What happens if the camera cannot identify a product?
The controls should define an uncertain-result strategy such as reject, recirculate, stop or request operator review.
How is conveyor tracking achieved?
An encoder measures belt movement. The vision and robot systems use that motion to update each product position until pick interception.
Continue planning your automation project
Use these pages to compare approaches, define the application and prepare the information needed for a useful feasibility review.
End-of-arm tooling
Develop the gripping method around the real product and cycle.
Read more →How to choose a robot
Check payload, work envelope, cycle, environment, safety and interfaces.
Read more →Robot automation cost
Understand the complete project scope before comparing budgets.
Read more →Robotic quality inspection
Use controlled multi-view sensing for defect checks and measurement.
Explore →3D vision bin picking
Locate and grasp random parts in three dimensions.
Explore →Review this production task with us.
Send the product details, required output, available space and a photo or short video of the current process. We will review the application and identify the next engineering step.