FAQs: Inspection features

Perceptor IoT can inspect and verify the following 1D symbologies:

• EAN128
• EAN13
• EAN8
• UPCA
• UPCE
• Interleaved 2of5
• Code 93
• Code 39 (+Extended)
• Codabar
• Databar
• DatabarLimited
• Pharmacode

Yes, the user can choose to set a minimum pass grade for barcodes of 0.0 to 4.0.

Yes - both options are available in Perceptor IoT i.e barcode reading and barcode verification.

Please check what your licence allows as each option is licensed separately. Barcode verification also requires barcode reading. This process will happen without any input from the operator.

The short answer is yes. But this requires clarification, as follows.

Different light colours enhance the contrast between label objects and the label itself. The greater the contrast the easier it is for Perceptor IoT - as with any machine vision system - to detect, inspect and verify the areas of interest specified.

Perceptor IoT inspection camera uses red (630nm) illumination to comply with ISO 15415/15416 code verification. Red light is often used in machine vision as it minimizes reflections and glare. But red light is also readily absorbed by materials including label media and so, depending on the colour of the label/label content, the contrast will vary.

Red label/content: using red light on a red label or with red content means the red label or content will not absorb any light. The light will be reflected and the Perceptor IoT sensor will receive all the light back and the resulting image will be white.

Any black content absorbs the red light so that will appear as black because no light is returned to the sensor.

White content won't absorb the light and so it will reflect and appear as white.

Green label/content: using red light on a green label/green content means the light will be absorbed and the resulting image will be dark.

Blue label/content: as with the green label, using red light on a blue label/content means the light will be absorbed and the resulting image will be dark. 

Green and blue media are very unresponsive and so will also produce very dark images.

Images produced: Perceptor IoT always returns a mono image with different grayscale values according to the colour of the media and the content. 

If a project or production line requires it, please contact us to discuss the options for integrating a custom image sensor - for InfraRed, Green/Blue light - in your Perceptor IoT hardware.

InfraRed light: beyond the visible spectrum, it is used as it beneficial for applications that require imaging where would otherwise be very little contrast between media, content and background.

Green/Blue light: similarly, green and blue light is used enhance image contrast and is particularly effective for detecting and contracting patterns, codes and other markings for identification.

The duplicate field checker must be enabled for every field in your label vision template that needs to be checked for duplication across any of your labels.

Follow these steps to ensure duplicates are checked for accurately:

1. Enable the duplicate field checker feature for every field that must be unique.

2. Select a product reference.

- A product reference could be your identity number, an internal part number, your customer’s part number etc.

- Whatever product reference is chosen, Perceptor will check for duplicates against that reference.

- Additional product references can be applied so for checking at multiple levels.

3. Save these settings to your label vision template.

With this feature enabled and a product reference applied for every field to be checked, Perceptor will be able to check for, identify and overstrike any duplicates. 

All fonts can be used in your label templates and inspected by Perceptor IoT.

Current inspection speed is approximately 6 inches per second, however speed can be affected by the number of areas of interest being inspected. A simple barcode inspection will not have an impact on speed but if multiple, complex inspections are required, the speed may be compromised.

As OCR does not have any error correction - e.g with a DataMatrix code - there is no guarantee that the OCR is 100% correct every time.

If the application is dependent on the OCR being 100% correct then the OCR should be linked to a machine-readable code that does have error correction and so can be relied upon to be 100% correct.

The purpose of the linked field function is to check that two fields are identical so if, for example, a 3 is read as an 8 using the OCR then the difference will be detected in the linked field.

Yes.