The difference between Vision and Vision Sensor systems is quite basic

Vision sensor makes testing as simple as answering a simple yes-no question on the production line. Vision systems do some complex work, like helping a robotic arm weld parts together in an automated factory.

The Machine Vision sensor captures light waves from the camera's lens and works in conjunction with a digital signal processor (DSP) to translate light data into pixels that produce a digital image. The software analyzes pixel patterns to reveal important facts about the subject being photographed.

Automated manufacturing doesn't mean robots make pickup trucks and smartphones. Many automated factory tasks require a simple, straightforward vision data type:

Present or absent?: is there any part in the sensor's field of view? If the sensor answers yes, then machine vision software allows the part to be moved to its correct position in the manufacturing process.

Investigate: Is the part missing or damaged? If the sensor sees defects, the part is removed from the production line.

Optical Character Recognition: section contains specific words or text? Answering this question can help the system automatically classify products by brand name or product description.

Machine vision systems use multiple sensors to perform basic tasks and face more complex challenges:

Guide/Alignment: to achieve the accuracy and alignment of the required parts, the vision system uses sensors to determine their exact position and place them in the required position. Such alignment is done through instructions from the vision system.

Read the code: Codes on packaging and individual components contain vital data that the vision system uses to gather information in real time. This information is used to categorize finished products and distinguish between parts of the manufacturing process.

Meter/Measurement: The sensor can ensure that the machined parts are cut to the proper size.

3D image: Sensors create three-dimensional representations of parts and products, help automate inspections, and tell the robotic arms where to receive and place parts accurately and efficiently. .

Each company needs to decide whether they need to use a simple vision sensor or a more advanced machine vision system. Vision sensors are designed to be easy to install and deploy, making it simple for plant personnel to set up and configure them without much outside support. If photography requires only a simple decision to go or not, then the Vision Sensor may well meet the company's needs.

However, Vision systems require more experience and a significant investment of time and money for configuration, installation, and training. Often companies will look to 3rd party integrators who have deep expertise in vision system installation for support.

Each company in the field of machine vision has its own characteristics that distinguish between a system and a machine vision sensor. For example, Cognex has vision sensors designed to perform specific tasks, like quality control in the food processing industry. The vision system combines advanced software with industrial cameras to enable a wide variety of factory automation applications. Depending on the needs and uses of each company, they can choose between simple sensors or more advanced machine vision systems to meet their production and product quality control requirements. .

The way to distinguish between vision system and vision sensor clearly, imagine hundreds of beer bottles on the bottling plant production line. Vision sensor can make sure every bottle has a cap. If the cap is there, the bottle is approved and sent to the packer, where another sensor ensures that there are six bottles in every six packages.

However, to meet other requirements such as determining when a bottle cap is misaligned or ensuring that each pack of six bottles contains only the same beer, the bottling company needs to use a more sophisticated vision system.

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