Verification. The third major aim of a vision system is checking that a product has been correctly manufactured, in a more general sense that goes beyond what previously described; i.e. checking the presence/absence of pills in a blister pack, the correct placement of a seal or the integrity of a printed label.

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Smart Cameras based. The simplest and most affordable vision systems are based on smart or intelligent cameras, normally used in combination with standard optics (typically a fixed focal length lens) and lighting. Although typically recommended for simpler applications, they are very easy to set up and provide similar functionalities to classic vision systems in a very compact form factor.

Compact. A “lighter” version of a PC based system is called a Compact vision system. Although it may require some tradeoff between performance and cost, it is often enough for less demanding applications. Compact vision systems usually include a graphics card that acquires and transfers the information to a separate peripheral (e.g. an industrial tablet or an external monitor). Sometimes, compact vision systems not only manage the first level input - lightning, camera and trigger inputs - but also have embedded first level inputs.

Diffused lightphotography

The closer the two objects are, the greater the angle of the diffraction is relative to the optical axis of the microscope. High NA lenses collect light out to ...

Defect detection. Here various types of product defects have to be detected for cosmetic and/or safety reasons. Examples of cosmetic flaws are stains, spots, color clumps, scratches, tone variations, etc. while other surface and/or structural defects, such as cracks, dents, but also print errors etc. can have more severe consequences.

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Several types of vision systems are available on the market, each being characterized by a different level of flexibility, performance and cost. Vision systems can usually be divided into three classes: PC based, compact and smart camera based.

We see an object because it emits light (for example, the sun, fire, a light bulb), or we see objects that reflect light.

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Vision systems can do many different things: measurement, identification, sorting, code reading, character recognition, robot guidance etc. They can easily interact with other machinery through different communication standards. Here below are some of the main application categories for a vision system:

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When a light beam strikes a smooth surface, most of it reflects back in the same concentration. This is specular reflection, which gives us direct, bright light. A mirror is a common example of a smooth surface that causes specular reflection. On rough surfaces, even microscopic irregularities create roughness. This does not break the law of reflection. Each ray reflects back at the same angle at which it struck the object but in a different direction. So diffuse light is scattered light. This scattering is what causes the diffusion and softness of the light beam.

Usually vision systems are designed to work in on-line applications, where they have an immediate impact on the manufacturing process (real-time systems). A classic example of this on-line concept is the possibility to instantly reject a product deemed non-compliant: the way this decision is made, as well as the object features being evaluated, defines different classes of vision systems.

Machine Vision is the discipline that encompasses imaging technologies and methods to perform automatic inspection and analysis in various applications, such as verification, measurement, process control. A very common approach in machine vision is to provide turnkey vision solutions, i.e. complete systems that can be rapidly and easily configured for use in the field. A vision system is usually made up of every component needed to perform the intended task, such as optics, lighting, cameras and software. When designing and building a vision system, it is important to find the right balance between performance and cost to achieve the best result for the desired application.

Light diffuses when it bounces off the many angles of a rough surface, or when it travels through a substance that changes its angles.

OpenCV comes with a function cv2.matchTemplate() for this purpose. It simply slides the template image over the input image (as in 2D convolution) and compares ...

The human eye cannot see all the rays on the light spectrum. Infrared rays, for example, are too long for the human eye to perceive, and ultraviolet rays are too short. So, direct (spectral) light seems stronger than diffuse light. However, the total light transmission is the same.

Diffusion oflightin Physics

Measurement. One of the most important uses of vision technology is to measure, at various degrees of accuracy, the critical dimensions of an object within pre-determined tolerances.

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Photographers use the principle of diffuse light to create pictures with vivid details because there are no sharp shadows to distract attention. On a sunny day, they use light diffusers to create soft shadows. Horticulturists are now discovering that diffused light creates a better growing environment in greenhouses. It allows for a greater horizontal spread of light and exposes the middle leaf layers to light. Drivers find that wet roads have a greater glare than dry roads, because the cracks and crevices on the road's surface fill up with water, creating a smooth surface. This results in specular reflection that creates the annoying glare. Fog lamps try to make use of the principle of diffused light to provide a safer beam.

Diffused light is a soft light with neither the intensity nor the glare of direct light. It is scattered and comes from all directions. Thus, it seems to wrap around objects. It is softer and does not cast harsh shadows.

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PC based. The classic machine vision system consists of an industrial computer that manages and communicates with all the peripheral devices, such as cameras and lighting, quickly analyzing the information via software. This solution provides high computing power and flexibility, but size and cost can be significant. PC based systems are recommended for very complex applications, where multiple inspection tasks must be carried out at a fast rate with high-performance hardware.

To understand the nature of diffused light, humans must first answer the question, "What is light?" Physicists define light as electromagnetic radiation. Traditional theory holds that light moves as a wave. Its amplitude gives the brightness, and the differing wavelengths make the different colors. Modern quantum theory says that particles of energy called photons make up light. The number of photons gives the brightness, and the energy in the photons creates its color. Both theories are correct. Light acts as both particle and wave. Simply put, light is that which enables humans and other animals to see.

Optics, lighting and cameras must be coupled to effective software tools, since only robust subpixeling algorithms will allow to reach the accuracy often required in measurement applications (e.g. even down to 1 um).