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5 August 2022


When talking about cameras, distinctions have to be made as there are different technologies available that find applications according to their characteristics, especially when we talk about Machine Vision.

Take sports, for example, which must still be equipped with the latest technology in order to have a high standard of quality, especially in professional sports. In this case, the use of cameras makes it possible to reconstruct a particular action or a photo finish, to establish an ex aequo winner.

In this case, we want to emphasise linear and matrix cameras, so that we can understand the characteristics and substantial differences between the two technologies. In fact, there are many aspects to be emphasised and analysed.

What is a linear camera

Sensore telecamera lineare

Scientifically, the linear camera consists of sensors placed on a single line. In short, it develops an image with only one line of pixels.

When an image has to be reconstructed, this is done by taking the object in motion. The image will be decoded by an encoder that practically reconstructs the movement of the object while the camera is fixed, placed high above the observation point.

The object is scanned by passing it under the lens, thus obtaining a high resolution that will allow it to be reconstructed in the best possible way. This feature is of paramount importance when quality control of a particular product is to be carried out, for example during processing.

What is a matrix camera

matrix camera

This type of camera can reconstruct a two-dimensional image. The chip that enables the acquisition is solid and usually made of silicon. In this case, we are dealing with two types of technologies that form two different sensors, both of which differ in composition.

In a few words, one of the two does not exclude the other, as the quality also totally changes depending on the component itself. The two technologies are called CCD and CMOS.

The first one is often used in the industrial sector, when an excellent relationship with ambient noise is required, while CMOS technology presents a very high quality at an affordable price.

Differences between the two systems

Starting with linear cameras, the latter have a very high spatial resolution. This allows us to reconstruct images in great detail. In fact, if you use them during industrial production, you will definitely have more quality control.

With a matrix camera we will not have the same quality, but we will have a totally different view of depth and space. In this way we will have a better perception of distance and of course of details, as the matrix sense allows us to gain a more complete perspective.

The two cameras should be used according to sector and purpose: in the case of a flat, but high-definition image, it is advisable to use a linear camera. Conversely, it is more correct to use a matrix camera.

What is a proximity sensor: advantages of two-dimensional over one-dimensional

To better understand, we would also like to point out what a proximity sensor is. The proximity sensor is used to detect an object in the vicinity, without there being any actual contact. The distance for this type of detection is obviously given by the sighted range, i.e. how far this sensor can detect an object.

In this case, there are two types of sensors: two-dimensional and one-dimensional. Obviously the former are more accurate but if we need to acquire an object nearby, a two-dimensional system will be able to acquire a greater depth and is therefore able to provide a high performance. This type of sensor is certainly used in robotics and obviously also in Machine Vision.

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