Introduction to Vision Sensors

In today’s fast paced world, companies must keep up with the demands of their customers. Speed is often used as a differentiating factor in the business world, mainly as it is measurable.

Vision Sensors are meant to conduct simple error-proofing tasks, such as presence/absence inspections, and deliver pass/fail results. Vision Sensors combine the capability of a camera to take a picture with the processing power of a computer to make decisions about a manufacture part or product based on its position, quality and completeness.

As the parts are moving along the production line, the Vision Sensors are able to dynamically detect the targeted area in the specific parts. Multi-point inspections can be done with a single sensor, ensuring that all components of the parts are of top quality before being delivered to the end users.

Vision Sensors perform inspections first by locating the part in the image, then by looking for specific features on that part. Once the field of view (FOV) is set, an operator can run vision tools within the entire range of the target to inspect multiple features for their presence, completeness, or orientation—all in a single image. Unlike any other sensor, a Vision Sensor can handle misalignment and predictable variability in a work cell, so operators can use them in pre-configured cells without needing to make a number of costly and time-consuming changes. An object can therefore be inspected in any position on the belt.

Inspections are carried out by Vision Sensors by first finding the part in the image, then by searching for certain characteristics on that part. Once the field of view (FOV) is defined, an operator can utilise the vision tools to evaluate various features for their presence, completeness, or orientation in a single image. A Vision Sensor, unlike any other sensor, can manage misalignment and anticipated variability. This allows operators to save time on making costly and time-consuming changes. As a result, an object can be inspected in any position on the belt.

Components of a Vision Sensor

1. Lighting

To illuminate the part that is being inspected so that its distinctive features are easily visible by the camera to detect.

2. Lens

To capture the image of the part being inspected.

3. Image Sensor

To analyse the images captured to determine the accuracy of assembly of presence of defects.

4. Vision Processor

In charge of running the machine vision algorithms.

5. Communication

Connects the other parts of the vision system, ensuring that data is transmitted properly.