What exactly is the complete workflow of a machine vision system?
Release date:
2015-11-13 00:00
Source:
The general workflow of a complete machine vision system is as follows:
1. The workpiece positioning detector senses that the object has moved close to the center of the camera system’s field of view and sends a trigger pulse to the image acquisition unit.
2. The image acquisition module sends start pulses to both the camera and the lighting system, following the pre-set program and timing delays.
3. The camera stops its current scan, restarts scanning a new frame, or remains in standby mode until the start pulse arrives—once the pulse is detected, it initiates one full frame scan.
4. The exposure mechanism is activated before the camera starts scanning a new frame, and the exposure time can be set in advance.
5. Another trigger pulse activates the lighting, and the duration of the lights should match the camera’s exposure time.
6. After the camera is exposed, the scanning and output of a single image frame officially begin.
7. The image acquisition module receives analog video signals, converts them into digital format via an A/D converter, or directly processes digital video data output by the camera. The digitized images are then stored in the processor or computer’s memory.
8. The processor handles, analyzes, and identifies the image to obtain measurement results or logic control values.
9. Managing the actions of the processing result control pipeline, performing positioning, and correcting motion errors, among other tasks.
Machine vision is a relatively complex system. Since most systems monitor moving objects, the ability to match and coordinate actions with these dynamic subjects is particularly critical—thus placing stringent demands on the timing and processing speed of each system component.
The main advantages are:
1. Non-contact measurement ensures no harm is inflicted on either the observer or the object being observed, thereby enhancing the system's reliability.
2. It features a broad spectral response range, such as utilizing infrared measurements invisible to the human eye, thereby extending the visual capabilities beyond what the human eye can perceive.
3. While humans struggle to maintain prolonged observation of the same object, machine vision can effortlessly perform measurement, analysis, and recognition tasks over extended periods.
The Star River GO01 keyboard test is a dynamic visual testing system—except it doesn’t perform any other external mechanical actions.
