Seeing a part is just the beginning. The next step is guiding the robot.
When components arrive in different positions, a fixed trajectory may not be enough.
A machine vision system can recognise a part and estimate its position and orientation. This information allows the robot to adapt its motion and reach the gripping point.
AI can help manage variations in appearance and the scene. However, the result depends on the entire system: lighting, optics, camera-to-robot calibration, tooling and integration with machine control.
At PLCynapse, we apply our machine vision expertise to integration with robots, PLCs and industrial software.
The value for the customer is a process that can handle variability, recognise when a grip is unreliable and provide useful diagnostic information.
Because an effective application must also know when to stop and report a problem.
Let's discuss your project.
We start with your process and production requirements.
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