Machine vision always reduce production costs. Whether an improvement in product quality or by enabling automation of industrial processes that would not be possible with other technologies.
Find out how to cut costs with machine vision
JasVisio offers you solutions on Machine Vision for all your production processesz. Product quality control, metrology and robots positioning.
CanInspector is a complete Machine Vision can seam control system. Don't let that seam defect cans reach the final customer.
Machine vision automates processes in different industrial areas, improving their production process.Machine Vision
Machine Vision covers computing, optics, mechanical engineering and industrial automation. Unlike the academic computer vision, which focuses primarily on machines based on image processing, machine vision systems integrate systems for capturing digital images, input/output devices and computer networks to control manufacturing equipment such as robotic arms. Machine vision systems are designed to perform visual inspections that require high speed, high magnification, operating 24 hours a day or repeatability of measurements.
The purpose of an inspection system using machine vision is often to check the compliance of a part with certain requirements, such as dimensions, serial numbers, the presence of components, etc.
Uses of Machine Vision
Machine vision applications are divided into three main categories:
- Process Control
- Quality Control
- Industrial applications (eg traffic control)
Components of an artificial vision system
A modern machine vision system includes:
A lighting system.
Good lighting is especially important for taking pictures of the parts in a fast production line, although some applications can use the ambient light.
The camera lens.
The correct choice of lens is important to achieve an optimal solution.
One or more cameras to acquire images.
The cameras can be analog, but the price of digital cameras is falling, so these are being used more ofte
An interface device for transferring images to your computer.
An image processor, computer or smart camera.
One option is to use smart cameras that make up the image processing inside the camera, avoiding the need to transfer images to an external computer. The processing speed of these cameras is slower than a computer and there are applications where they are not adequate.
An interface for reporting the results of the analysis to an operator.
The result may be notified by an electronic signal that operates a mechanism of rejection.
How the computer vision works
The basic steps are the segmentation and analysis, which are essentially software algorithms and functions that run on the processor.
Segmentation
It comes to deciding what parts of the image require interpretation or not. It is often possible and necessary to refine the segmentation. For example, if the application needs to find scratches or cracks in the glass, the first phase of segmentation often find elements that are themselves cracks or scratches in addition to dirt and dust. Often the result is refined to remove from the image dirt and dust and leave only the elements to be analyzed.
Machine vision applications
With the increased power of microprocessors, applications that can be solved successfully using vision systems are growing quickly. An application may require one or more image processing functions, which, when combined, create a solution. The detection range is wide and includes:
Shape or appearance. Compliance check
Current systems usually begin with a two-dimensional measurement operation to establish the displacement necessary for the object in an ideal position. Subsequently conducted operations compare the captured image with a standard object or geometric shape characterization. In this way, you can decide if the scanned object meets or not the predetermined requirements.
Justification for investment in machine vision
There are many justifications for the use of machine vision:
Costs of materials
In most applications, avoiding the production of defective parts through the use of an industrial vision system will have a very short payback period. To avoid producing defective parts, the automatic inspection system should be part of statistical process control (SPC) production system; regarless it is inspecting 100% of the production or it is used off-line inspecting samples. This means that the system can indicate when a control parameter drifts towards the limit of tolerance or is simply too erratic. The vision system can take corrective action before the limit is exceeded.